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Correlation   Statistics
 
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There has been a mistake. Please note 0 x 3 has been written 3. Extremely sorry for the mistake. Totals match though. Just writing error.
Views: 264089 Sagar Jain
Correlation & Regression: Concepts with Illustrative examples
 
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We can use scatter plots to understand the relationships between variables, but it is applied only for obvious relationships like Temperature and Viscosity. Sometimes, it is not possible to comment about relationship between variables only looking at the graph. “CORRELATION & REGRESSION” are very important mathematical concepts to define relationship between variables. This is the topic for video. I have tried to explain these concepts with the help of practical examples which will be very easy to understand. I have also explained the procedure about how to create a “CORRELATION & REGRESSION ANALYSIS” in Microsoft Excel. Everything is with steps, snapshots and examples, which will be very easy to understand. I have also covered statistics part like how to read and understand “SIGNIFICANCE F and P-values” I am sure, you will liked it. Apart from this video, please visit to my website by clicking on this link and if you think, we can support you in achieving your goals, please feel free to contact us. We will guarantee your success by designing and delivering training as per your need and hand-holding support in execution of Lean, Six Sigma & Personality Development initiatives- https://www.learnandapply.org/ I have also created recommendation page on this website to avail you a great knowledge to improve your personal as well as professional life. You can visit this link to review it. https://www.learnandapply.org/recommondations And finally thank you for watching…
Correlation and causality | Statistical studies | Probability and Statistics | Khan Academy
 
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Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise) Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/probability/statistical-studies/types-of-studies/e/types-of-statistical-studies?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Watch the next lesson: https://www.khanacademy.org/math/probability/statistical-studies/types-of-studies/v/analyzing-statistical-study?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistical-studies/types-of-studies/v/types-statistical-studies?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 675502 Khan Academy
SPSS for questionnaire analysis:  Correlation analysis
 
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Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. 0:00 Introduction to bivariate correlation 2:20 Why does SPSS provide more than one measure for correlation? 3:26 Example 1: Pearson correlation 7:54 Example 2: Spearman (rhp), Kendall's tau-b 15:26 Example 3: correlation matrix I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. Watch correlation and regression: https://youtu.be/tDxeR6JT6nM ------------------------- Correlation of 2 rodinal variables, non monotonic This question has been asked a few times, so I will make a video on it. But to answer your question, monotonic means in one direction. I suggest you plot the 2 variables and you'll see whether or not there is a monotonic relationship there. If there is a little non-monotonic relationship then Spearman is still fine. Remember we are measuring the TENDENCY for the 2 variables to move up-up/down-down/up-down together. If you have strong non-monotonic shape in the plot ie. a curve then you could abandon correlation and do a chi-square test of association - this is the "correlation" for qualitative variables. And since your 2 variables are ordinal, they are qualitative. Good luck
Views: 519545 Phil Chan
Statistical Analysis: Correlation
 
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Music: Cylinder Six by Chris Zabriskie is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://chriszabriskie.com/cylinders/ Artist: http://chriszabriskie.com/
Views: 175 FNH Teaching Lab
Excel 2013 Statistical Analysis #24: Numerical Measures: Covariance and Correlation Coefficient
 
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Download files: http://people.highline.edu/mgirvin/excelisfun.htm Topics in this video: 1. (00:15) Review of different X-Y Scatter 2. (02:42) Add Xbar Line and Ybar Line to X Y Scatter Chart to help interpret how Covariance is calculated and why the math behind the calculation makes sense 3. (08:36) Formulas and Calculations for Covariance and Correlation Coefficient (Long Hand) 4. (12:38) COVARIANCE.S Excel function for calculation Sample Covariance 5. (13:41) Correlation Coefficient & PEARSON Excel function for calculation Correlation Coefficient 6. (16:11) CORREL Excel function for calculation Correlation Coefficient 7. (18:50) Summary
Views: 15380 ExcelIsFun
#1 | Correlation and Regression | Regression Introduction and basics
 
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This video is suitable for REGRESSION ANALYSIS | REGRESSION STATISTICS | REGRESSION BY CHANDAN PODDAR | REGRESSION EQUATION | REGRESSION CHANGE IN ORIGIN AND SCALE | REGRESSION QUESTION | REGRESSION CONCEPTS | REGRESSION CONCEPTS AND NUMERICAL | REGRESSION NUMERICAL | CORRELATION | CORRELATION IN HINDI | CORRELATION BY CHANDAN PODDAR | TYPES OF CORRELATION | MEANING OF CORRELATION | MEANING OF CORRELATION IN HINDI | CORRELATION FOR CPT . To watch complete course click here :- https://www.vidyakul.com/super-saver/super-saver-by-chandan-sir For Videos related call at :- 9818434684 For Books related enquiry :- 8010201786 For any other Enquiry :- 9953633448 Mail ID :- [email protected]
Statistics: Correlation and Regression Analysis in SPSS
 
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This video shows how to use SPSS to conduct a Correlation and Regression Analysis. A simple null hypothesis is tested as well. The regression equation is explained despite the result of the hypothesis conclusion. ====================================================== Ways to support my channel: 1. Like, Share and Subscribe. 2. Buy Andy Field's textbook here: http://amzn.to/2yxomuQ 3. Buy SPSS (Student's version) here: http://amzn.to/2g19Ofc 4. Buy this book written by Dr. Everett Piper, President of Oklahoma Wesleyan University. Analyzes the current higher education system: http://amzn.to/2y6tpRk 5. Donate at PayPal.Me/AGRONKACI ============================ MORE VIDEOS: Watch Using Excel to find the Correlation Coefficient r here: https://youtu.be/y3bgaLwdm50 Watch ANOVA in SPSS here: https://youtu.be/Bx9ry1vBbTM Watch Sampling Distribution of Sample Means here: https://youtu.be/anGsd2l5YpM Watch Using Excel Charts to calculate Regression Equation here: https://youtu.be/qZjTtnyaV70 Watch Using Excel to calculate Regression Equation here: https://youtu.be/LDC0p9iZY8g Watch ANOVA in Microsoft Excel (One-Way) here: https://youtu.be/WhBkgWL3_3k Useful stuff: 6. Robot Vacuum Cleaner: http://amzn.to/2xpNGCH 7. Roku Express: http://amzn.to/2yvvAPQ 8. Mini Coffee Maker: http://amzn.to/2y7S1tq 9. Xbox One S 1TB Console - Forza Horizon 3 Bundle: http://amzn.to/2xoycPA 10. Xbox One 1TB Console - Tom Clancy's The Division Bundle: http://amzn.to/2yxYi2J ============================
Views: 239636 Agron Kaci
What Is Correlation?
 
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Basic overview of correlation
Views: 326330 DrMaggard
Correlation Doesn’t Equal Causation: Crash Course Statistics #8
 
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Today we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably heard of like regression coefficient, correlation coefficient (r), and r^2. But first, we’ll need to introduce a useful way to represent bivariate continuous data - the scatter plot. The scatter plot has been called “the most useful invention in the history of statistical graphics” but that doesn’t necessarily mean it can tell us everything. Just because two data sets move together doesn’t necessarily mean one CAUSES the other. This gives us one of the most important tenets of statistics: correlation does not imply causation. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Justin Zingsheim, Nickie Miskell Jr., Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, Robert Kunz, SR Foxley, Sam Ferguson, Yasenia Cruz, Daniel Baulig, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, Alexander Tamas, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters,, Sandra Aft, Steve Marshall -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 114693 CrashCourse
SPSS for Beginners 5: Correlations
 
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Updated video: SPSS for Beginners – Correlation https://youtu.be/6EH5DSaCF_8 This video demonstrates how to calculate correlations in SPSS and how to interpret correlation matrices.
Views: 457396 Research By Design
How to calculate Correlation - Statistical Analysis Tutorial 8
 
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In this tutorial i'll be discussing about the Pearson's coefficient of correlation and how to interpret the value of it once it is calculated. i'll be using two examples one with manual calculation of r and other one with Excel.
Views: 192 Gihan Weerasekara
7 Correlation (Statistical Analysis through Excel)
 
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Producer: Yammy Ng
Views: 192 T.Y. Tutorial
The Correlation Coefficient - Explained in Three Steps
 
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The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm giving an intuition how the correlation coefficient does this, without going into formulas. If you need to calculate the correlation coefficient for some data, you can find the formula here: https://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient#For_a_sample This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.(http://creativecommons.org/licenses/by-nc/4.0/)
Views: 462585 Benedict K
Using Correlations To Understand Your Data: Machine Learning With R
 
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Follow me on Twitter @amunategui Check out my new book "Monetizing Machine Learning": https://amzn.to/2CRUOKu A great way to explore new data is to use a pairwise correlation matrix. This will pair every combination of your variables and measure the correlation between them. Code and walkthrough: http://amunategui.github.io/Exploring-Your-Data-Set/ Follow me on Twitter https://twitter.com/amunategui and signup to my newsletter: http://www.viralml.com/signup.html More on http://www.ViralML.com and https://amunategui.github.io Thanks!
Views: 53278 Manuel Amunategui
Covariance and correlation
 
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This video explains what is meant by the covariance and correlation between two random variables, providing some intuition for their respective mathematical formulations. Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti
Views: 294028 Ben Lambert
Choosing which statistical test to use - statistics help.
 
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Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together videos about Helen, her brother, Luke and the choconutties. There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.
Views: 769432 Dr Nic's Maths and Stats
3.2 Correlation (Statistical Testing and Prediction)
 
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See here for the course website, including a transcript of the code and an interactive quiz for this segment: http://dgrtwo.github.io/RData/lessons/lesson3/segment2/
How to do Rank Correlation - Statistical Analysis Tutorial 9
 
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In this tutorial i'll be discussing about the Spearman's Rank correlation coefficient and in what instances we can use the rank correlation with examples.
Views: 110 Gihan Weerasekara
How to Calculate and Interpret a Correlation (Pearson's r)
 
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This video covers how to calculate the correlation coefficient (Pearson’s r) by hand and how to interpret the results. Here we use the 'definitional formula' for calculating the correlation, as it is the easier of the two methods. It also makes more sense intuitively than the computational approach to calculating the correlation coefficient. Click here for free access to all of our videos: https://www.youtube.com/user/statisticsinstructor (Remember to click on "Subscribe")
04 SPSS for Beginners - Correlation
 
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How to Use SPSS We can now use our two scale-level variables to explore the relationship between height and weight. We will use correlation to measure this relationship. We will also learn about a point biserial correlation with gender. Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and StatsClass.sav. As I add new files, they will appear here, as well. https://drive.google.com/drive/folders/1n9aCsq5j4dQ6m_sv62ohDI69aol3rW6Q?usp=sharing
Views: 103477 Research By Design
Linear Regression and Correlation - Example
 
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Course web page: http://web2.slc.qc.ca/pcamire/
Views: 519620 [email protected]
SPSS: How To Perform Quantitative Data Analyses For Bachelor's Research? 5 Basic Analysis Methods
 
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1. Descriptives: 1:32 2. T test: 2:52 3. Correlation: 4:41 4. Chi square: 5:39 5. Linear regression: 6:45 This video discusses the basic statistical analytical procedures that are required for a typical bachelor's thesis. Five stats are highlighted here: descriptives, T test, correlation, Chi square, and linear regression. For requirements on reporting stats, please refer to the appendix of your research module manuals -- Frans Swint and I wrote an instructional text on APA reporting of stats. There is no upper limit in terms of how advanced your stats should be in your bachelor's dissertation. This video covers the basic procedures and is not meant to replace the instructions of your own research supervisor. Please consult your own research advisor for specific questions regarding your data analyses. Please LIKE this video if you enjoyed it. Otherwise, there is a thumb-down button, too... :P ▶ Please SUBSCRIBE to see new videos (almost) every week! ◀ ▼MY OTHER CHANNEL (MUSIC AND PIANO TUTORIALS)▼ https://www.youtube.com/ranywayz ▼MY SOCIAL MEDIA PAGES▼ https://www.facebook.com/ranywayz https://nl.linkedin.com/in/ranywayz https://www.twitter.com/ranywayz Animations are made with Sparkol. Music files retrieved from YouTube Audio Library. All images used in this video are free stock images or are available in the public domain. The views expressed in this video are my own and do not necessarily reflect the organizations with which I am affiliated. #RanywayzRandom #SPSS #Research
Views: 7381 Ranywayz Random
Using Excel to calculate a correlation coefficient || interpret relationship between variables
 
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http://alphabench.com/data/excel-correlation-tutorial.html This tutorial demonstrates how to use the CORREL function in Excel to calculate and interpret the strength and direction of the relationship between two variables. The spreadsheet used in this example can be downloaded from: http://www.alphabench.com/resourses.html
Views: 101871 Matt Macarty
How to Calculate a Correlation (and P-Value) in Microsoft Excel
 
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How to calculate the Correlation using the Data Analysis Toolpak in Microsoft Excel is Covered in this Video (Part 2 of 2). Check out our brand-new Excel Statistics Text: https://www.amazon.com/dp/B076FNTZCV In the text we cover the p-value for Correlation and much more. YouTube Channel: https://www.youtube.com/user/statisticsinstructor Channel Description: For step by step help with statistics, with a focus on SPSS (with Excel videos now too). Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Videos series coming soon include: multiple regression in spss, factor analysis in spss, nonparametric tests in spss, multiple comparisons in spss, linear contrasts in spss, and many more. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Views: 595816 Quantitative Specialists
Interpret SPSS output for correlations: Pearson's r
 
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How to interpret the SPSS output for Pearson's r correlation coefficient. ASK SPSS Tutorial Series
Views: 216436 BrunelASK
Statistical analysis in Excel: Calculating correlation coefficient (Lesson 3)
 
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Statistical analysis in Excel tutorial for beginners: Calculating correlation coefficient, weakening a relationship
Regression: Crash Course Statistics #32
 
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Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and politics. Today we're going to build a hypothetical model to look at the relationship between likes and comments on a trending YouTube video using the Regression Model. We'll be introducing other popular models over the next few episodes. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 70023 CrashCourse
Mini Statistics Lecture: Analyzing Likert Scale Questionnaire Data using R
 
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Likert Scale: http://en.wikipedia.org/wiki/Likert_scale R: http://www.r-project.org/
Views: 218175 Alan Cann
Pearson's chi square test (goodness of fit) | Probability and Statistics | Khan Academy
 
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Pearson's Chi Square Test (Goodness of Fit) Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/chi-square/v/contingency-table-chi-square-test?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/chi-square/v/chi-square-distribution-introduction?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1051080 Khan Academy
Bivariate relationship linearity, strength and direction | AP Statistics | Khan Academy
 
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Describe a bivariate relationship's linearity, strength, and direction. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/bivariate-data-ap/scatterplots-correlation/v/bivariate-relationship-linearity-strength-and-direction?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 43416 Khan Academy
Ordinal Scale Data Analysis Techniques
 
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Introduction to the Mann-Whitney U, Wlcoxon and Kruskal-Wallis tests with demostrations of on-line calculators. Websites: http://www.socscistatistics.com/tests/Default.aspx http://www.mathcracker.com/kruskal-wallis.php
Bivariate Analysis #2
 
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Views: 27855 ChrisFlipp
Correlation vs Regression for Data Analysis | Financial Modeling Tutorials
 
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A financial modeling tutorial on analyzing correlation vs regression with fun statistical analysis examples in the data analytics course Quant 101. Find the video script here: https://factorpad.com/fin/quant-101/correlation-vs-regression.html Zoom straight to the section you are interested in: 01:00 - Video Outline 01:23 - Step 1 - Summarize Correlation and Regression 07:43 - Step 2 - Compare Correlation and Regression 12:52 - Step 3 - The Equation of a Line 15:45 - Step 4 - Correlation Calculations 18:00 - Step 5 - Next: Correlation For the outline to the series see: https://factorpad.com/fin/quant-101/quant-portfolio-management.html See what else you can learn at: https://factorpad.com Happy Learning!
Views: 207 FactorPad
Statistical concepts in measurement- correlation and regression analysis (PSY)
 
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Subject:Psychology Paper:Applied Psychometrics
Views: 122 Vidya-mitra
Lecture 21: Covariance and Correlation | Statistics 110
 
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We introduce covariance and correlation, and show how to obtain the variance of a sum, including the variance of a Hypergeometric random variable.
Views: 64998 Harvard University
How to test statistical significance of correlation in R Studio
 
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Hello friends, Hope you all are doing great! This video describes How to test statistical significance of correlation in R Studio. Subscribe the channel for such updates Please visit my blog: http://learningeconometrics.blogspot.in/ My website https://sites.google.com/site/sarveshwarinani/ See my research on my Google Scholar profile https://scholar.google.co.in/citations?user=RIelyLEAAAAJ&hl=en Ask me questions [email protected]
Views: 2294 Sarveshwar Inani
Correlation in R
 
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This video will show you how to make scatterplots, matrix plots and calculate Pearson's, Spearman's and Kendall's correlation coefficients.
Views: 159754 Ed Boone
Regression & Correlation Analysis in SPSS | www.pietutors.com
 
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This video explains you about correlation analysis and regression analysis. This video is brought to you by:- PIE TUTORS a statistical consulting and data analysis consultancy for scholars and researchers Visit us at : www.pietutors.com YouTube : www.youtube.com/pietutors Facebook : https://www.facebook.com/pietutors.yourstatisticalpartner Email : [email protected] Contact : +91 895 567 8210
Views: 312 PIE TUTORS
Correlation CAN Imply Causation! | Statistics Misconceptions
 
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Have fun improving your math & physics skills! Head to https://brilliant.org/minutephysics/ Footnote video: https://www.youtube.com/watch?v=iMbcMMe0D_Y This video is about how causal models (which use causal networks) allow us to infer causation from correlation, proving the common refrain not entirely accurate: statistics CAN be used to prove causality! Including: Reichenbach's principle, common causes, feedback, entanglement, EPR paradox, and so on. REFERENCES: Causal Discovery Algorithm in Quantum Mechanics Paper: https://arxiv.org/pdf/1208.4119.pdf Causal Models overview (Quantum and Classical): https://arxiv.org/pdf/1609.09487.pdf Support MinutePhysics on Patreon! http://www.patreon.com/minutephysics Link to Patreon Supporters: http://www.minutephysics.com/supporters/ MinutePhysics is on twitter - @minutephysics And facebook - http://facebook.com/minutephysics And Google+ (does anyone use this any more?) - http://bit.ly/qzEwc6 Minute Physics provides an energetic and entertaining view of old and new problems in physics -- all in a minute! Created by Henry Reich
Views: 617135 minutephysics
Correlation matrix PAST statistical software
 
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How to build a correlation matrix in PAST statistical software
Views: 668 Yair suari
What is REGRESSION video 1?The Pearson product-moment correlation coefficient
 
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Quick intro to regression. How to make scatter plot on TI 83 84 89. Describing scatterplots (strength form direction strange stuff)...
Views: 23370 MrNystrom
Learn Basic statistics for Business Analytics
 
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Business Analytics and Data Science are almost same concept. For both we need to learn Statistics. In this video I tried to create value on most used statistical methods for Data Science or Business Analytics for Statistical model Building. Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics any can handle a scientific, industrial, or societal problem. I value your time and effort that is why I have capture almost 20 statically concept in this video. Learn Basic statistics for Business Analytics Here I have capture how to learn Mean, how to learn Mode, How to learn median, Concept of Sleekness, Concept of Kurtosis, learn Variables, concept of Standard deviation, Concept of Covariance, Concept of correlation, Concept of regression, How to read regression formula, how to read regression graph, Concept of Intercept, Concept of slope coefficient, Concept of Random Error, Different types of regression Analysis, Concept ANOVA (Analysis of Variance), How to read ANOVA table, How to learn R square (Interpreted R square), Concept of Adjusted R Square, Concept of F test, Concept of Information Value, Concept of WOE, Concept of Variable inflation Factors. Learn Basic statistics for Business Analytics By this video you can Start Learn statistics for Data Science and Business analytics easily and effectively. These statistics are useful when at the time of running linear regression, Logistic regression statistics models. For Statistical Data Exploration you may need to see Meager of central tendency and Data Spread in Statistics. By Understanding Mean, Mode, Median, Sleekness, Kurtosis, Variance, Standard deviation. Learn Basic statistics for Business Analytics To understand statistical relationship between variables you can use Covariance, Correlation coefficient, Regression , ANOVA (Analysis of Variance) . Learn Basic statistics for Business Analytics To understand Strength of stastical relationship between variables you can use R square, Adjusted R square, F test. If you want to understand variable importance in your stastical model you can use Information value (IV) and Weight of evidence (WOE) Concept. Information value and Weight of evidence mostly used in Logistic Regression Analysis. Learn Basic statistics for Business Analytics Variable inflation factors (VIF) is used for understanding, It is the stastical method to understand variable importance. What is the importance of this variable statically in the Regression model? By VIF we check Correlation between variable. Learn Basic statistics for Business Analytics At last I have explained when to use ANOVA, When to Use Linear regression and when to use Logistic regression. Learn Basic statistics for Business Analytics Thank you So much for watching this video, Hope I can add some value in your Journey as a Statistician, Business Analytics professional and Data Scientist professional. Blogger : http://koustav.analyticsanalysis.busi... google plus: https://plus.google.com/u/0/115750715 facebook link: https://www.facebook.com/koustav.biswas.31945?ref=bookmarks website: https://www.analyticsanalysisbusiness.com
Video 1: Introduction to Simple Linear Regression
 
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We review what the main goals of regression models are, see how the linear regression models tie to the concept of linear equations, and learn to interpret the coefficients of a simple linear regression model with an example. TABLE OF CONTENTS: 00:00 Simple Linear Regression 00:17 Objectives of Regressions 02:54 Variable’s Roles 03:30 The Magic: A Linear Equation 04:21 Linear Equation Example 05:24 Changing the Intercept 06:02 Changing the Slope 07:00 But the world is not linear! 07:44 Simple Linear Regression Model 08:25 Linear Regression Example 09:16 Data for Example 09:46 Simple Linear Regression Model 10:17 Regression Result 11:02 Interpreting the Coefficients 12:38 Estimated vs. Actual Values
Views: 366945 dataminingincae
How To... Perform Simple Linear Regression by Hand
 
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Learn how to make predictions using Simple Linear Regression. To do this you need to use the Linear Regression Function (y = a + bx) where "y" is the dependent variable, "a" is the y intercept, "b" is the slope of the regression line, and "x" is the independent variable. This video also shows you how to determine the slope (b) of the regression line, and the y intercept (a). In order to determine the slope of a line you will need to first determine the Pearson Correlation Coefficient - this is described in a separate video (https://www.youtube.com/watch?v=2SCg8Kuh0tE).
Views: 486352 Eugene O'Loughlin
Your Survey Closed, Now What? Quantitative Analysis Basics
 
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This webinar provides an overview of basic quantitative analysis, including the types of variables and statistical tests commonly used by Student Affairs professionals. Specifically discussed are the basics of Chi-squared tests, t-tests, and ANOVAs, including how to read an SPSS output for each of these tests.
Views: 20778 CSSLOhioStateU
Basic Statistical Functions: Variance, z-Score, Correlation, Excel For Statistics Analysis
 
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In this Excel Statistics training course, we will explore statistical concepts using excel as a tool. In this tutorial, learn about average, variance, standard deviation, correlation and standard score aka z score using Excel 2016. These four basic concepts variance, average , standard deviation and standard score are shown using excel. ▶️Part 1: Sum, Sum of Squares, Sum of Products Learn Basic Statistics https://youtu.be/7E69WEeplBo ▶️ Excel Graphs and Data Analysis ToolPak https://youtu.be/IgWPj4GJtF8 ▶️ Types of Data - Nominal Data - Ordinal Data - Interval Data - Ratio Data https://youtu.be/Z1kyUysyIYU ▶️ Calculating Probability - Compound Events - Trial - Sample Space https://youtu.be/ERWjEqM0dFc ▶️ Conditional Probability - Bayesian Probability - Counting Rules Excel https://youtu.be/jE6AC-uuFLw ▶️ Central Tendency - Mean - Median - Mode Using Excel In Statistics https://youtu.be/RXsQtt7qncw ▶️ Variance - Standard Deviation Using Excel - Properties of Variance https://youtu.be/8nZ15bVFUsc ▶️ Frequency Distribution - Cumulative Frequency Distribution - Graph Frequency Polygons https://youtu.be/09TcuwAdebQ ▶️ Probability Distribution - Distribution Properties, Discrete Probability Distribution https://youtu.be/9L1TiYtZB-8 ▶️ Normal Distribution, Standard Normal Distribution - Probability Density https://youtu.be/WaBWPYF9qmw ▶️ Sampling Distribution of statistics - Central Limit Theorem - t Distribution https://youtu.be/qioZ-kRDb2M ▶️ Confidence In Estimation - Calculating Confidence Intervals & Limits https://youtu.be/aPshZi1agkY ▶️ Logic Of Hypothesis Testing - Type I Error , Type II Errors In Statistics - Inferential Statistics https://youtu.be/2k8XenvaEVM ▶️ Central Limit Theorem - z Test - t Test - Statistics - Conditions for Central Limit Theorem https://youtu.be/Czkf2slbhNc ▶️ Chi-square Distribution Introduction | Hypothesis Testing about Standard Deviations & Variances https://youtu.be/d5kAK5nCHGk ▶️ Sampling Distribution for Two Independent Samples - Difference of Sample Means Distribution https://youtu.be/0g9WqKFkE5A ▶️ Z-statistics Vs. T-statistics for Two Means | Z- Test vs T- Test statistics https://youtu.be/t1tTY2hs9mI ▶️ Two Populations | Matched Samples t- Test, Sampling Distribution for Matched Samples https://youtu.be/XbF8gzeILsk ▶️ F- Test for Two Variances | Hypothesis Testing and F Distribution | F- Statistics https://youtu.be/owjUtkuZkDo ▶️ Understand Analysis of Variance (ANOVA), F- Test (F- Ratio), Inferential Statistics https://youtu.be/m2taXNpI2co ▶️ Types of Post ANOVA Testings, Analysis of Variance planned Comparisons || t- Tests https://youtu.be/ZD7fjoL-BpQ ▶️ Repeated Measures ANOVA, Analysis of Variance, F- Ratio https://youtu.be/mhyAJbcf1k0 ▶️ Two Way ANOVA (Factorial) with Replication, Hypothesis Testing with Two Factors https://youtu.be/k-MeZSnQAzI ▶️ Regression Analysis and Regression Line https://youtu.be/mV_k3OKp4NY ▶️ ANOVA for Regression Analysis | Multiple Regression Analysis https://youtu.be/UHmf93BKihI ▶️ Correlation & Regression Analysis, Hypothesis Testing Correlation Coefficient https://youtu.be/lrms61KSFYo #statistics #excel #statisticsusingexcel #statisticstutorial #variance #zscore #correlation #excel2019
Views: 218 TheEngineeringWorld

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