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: 209422
Sagar Jain

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: 666881
Khan Academy

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: 506769
Phil Chan

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.
The next important point is about communication for launching of my website:
I am very glad to announce a launching of my website related to Lean, Six Sigma and Personality development coaching. Please visit to my website by clicking on this link and add your valuable views and comments regarding it.
https://www.learnandapply.org/
I have also created recommendation page to share secret of my success with you. You can visit this link to review it.
https://www.learnandapply.org/recommondations
For the best audio recording experience, you can visit Samson product by visiting this link:
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For better management of your time and skills, you must read 'Managing Oneself' book:
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I am sure you will like this video as well as initiatives I have started.

Views: 124507
LEARN & APPLY

I demonstrate how to perform and interpret a Pearson correlation in SPSS.

Views: 664625
how2stats

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.
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Ways to support my channel:
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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
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Views: 233451
Agron Kaci

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
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CC Kids: http://www.youtube.com/crashcoursekids

Views: 102194
CrashCourse

This video introduces the concept of correlation between two continuous variables. Correlation is a simple yet very important topic. This video clearly outlines the topic and covers the important takeaways with proper explanation.
Please subscribe to continue receiving updates.

Views: 1144
Six Sigma Pro SMART

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: 446516
Research By Design

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: 272876
Ben Lambert

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: 15083
ExcelIsFun

How to build a correlation matrix in PAST statistical software

Views: 441
Yair suari

Course web page: http://web2.slc.qc.ca/pcamire/

Views: 493851
[email protected]

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: 172
Gihan Weerasekara

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]

Views: 307470
Grooming Education Academy by Chandan Poddar

How to interpret the SPSS output for Pearson's r correlation coefficient.
ASK SPSS Tutorial Series

Views: 199796
BrunelASK

Step-by-step instructions for calculating the correlation coefficient (r) for sample data, to determine in there is a relationship between two variables.

Views: 440462
Eugene O'Loughlin

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: 439257
Benedict K

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: 564855
Quantitative Specialists

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?
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Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids

Views: 50682
CrashCourse

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: 308
PIE TUTORS

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: 1014549
Khan Academy

http://thedoctoraljourney.com/ This tutorial demonstrates how to conduct a zero-order bivariate correlation in SPSS.
For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.

Views: 96633
The Doctoral Journey

We demonstrate installing Data Analysis ToolPak excel addin and how to build a Karl Pearson Correlation Matrix easily. The data set used can be downloaded from http://www.learnanalytics.in/blog/?p=150 .
Please subscribe to our channel to receive updates and also join our Linkedin Group for latest training videos and articles @http://www.linkedin.com/groups/Learn-Analytics-step-time-4240061

Views: 116774
Learn Analytics

Stanford SCI01: Introduction to Data Science

Views: 109
Mohammad Shokoohi-Yekta

An explanation of how to compute the chi-squared statistic for independent measures of nominal data.
For an explanation of significance testing in general, see http://evc-cit.info/psych018/hyptest/index.html
There is also a chi-squared calculator at http://evc-cit.info/psych018/chisquared/index.html

Views: 925578
J David Eisenberg

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: 40621
Khan Academy

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: 566901
minutephysics

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: 437664
Eugene O'Loughlin

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: 728854
Dr Nic's Maths and Stats

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.

Views: 76960
Research By Design

Course web page: http://web2.slc.qc.ca/pcamire/

Views: 124877
[email protected]

This video demonstrates how to test the assumptions for Pearson’s r correlation in SPSS. The assumptions of normality, no outliers, linearity, and homoscedasticity are tested and a correlation is conducted.

Views: 16839
Dr. Todd Grande

This is how I will do the statistical analysis for correlation research design using megastat. All of the data here are just for presentation purposes only. (Sorry for the audio quality and the grammar)

Views: 56
Emmanuel Abuzo

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/

Views: 4455
Data Analysis and Visualization Using R

Explore how to estimate Pearson's Correlation Coefficient using Stata. Created using Stata 12. Copyright 2011-2017 StataCorp LLC. All rights reserved.

Views: 115184
StataCorp LLC

Statistics Scatter Plots & Correlations Part 1 - Scatter Plots

Views: 43973
melathrop

This video provides an introduction to the concept of 'autocorrelation' (also called 'serial correlation'), and explains how it can arise in practice. There is also an explanation of the issues which this causes in econometric modelling. 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: 191209
Ben Lambert

Please watch: "logistic regression case study"
https://www.youtube.com/watch?v=M9Reulcqb2g --~--
Learn Basic statistics for Business Analytics
Business Analytics and Data Science is 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 :
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https://plus.google.com/u/0/115750715
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website:
https://www.analyticsanalysisbusiness.com

Views: 64879
Analytics Analysis Business

Views: 25820
ChrisFlipp

Conduct and interpret an internal consistency reliability analysis through Cronbach's alpha, the corrected item-total correlations and the inter-item correlation matrix. Guidelines for identifying adequate levels of reliability are also provided.
http://how2stats.blogspot.com/2011/09/internal-consistency-reliability.html

Views: 456161
how2stats

Producer: C.Y. Ling

Views: 200
T.Y. Tutorial

Subject:Psychology
Paper:Applied Psychometrics

Views: 98
Vidya-mitra

Subject: Social Work Education
Paper:Research Methods and Statistics
Module: Univariate Analysis & Bivariate Analysis
Content Writer: Dr. Graciella Tavares

Views: 31536
Vidya-mitra

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: 107
Gihan Weerasekara

2015 Network Analysis Short Course
- Systems Biology Analysis Methods for Genomic Data
This five full-day intensive course will cover network analysis methods widely used in systems biologic and systems genetic applications. The goal of the network analysis workshop is to familiarize researchers with network methods and software for integrating genomic data sets with complex phenotype data. Students will learn how to integrate disparate data sets (genetic variation, gene expression, epigenetic, protein interaction networks, complex phenotypes, gene ontology information) and use networks for identifying disease genes, pathways and key regulators. A companion Statistical Genetics Short Course will be held in August 2015.
Speaker Steve Horvath is a professor of human genetics and biostatistics at UCLA. His methodological research area lies at the intersection of biostatistics, bioinformatics, computational biology, cancer research, genetics, epidemiology, machine learning, and systems biology. My group applies these methods to study a broad spectrum of diseases, e.g. aging research, cancer, cardiovascular disease, HIV, Huntington's disease, neurodegenerative diseases.
Learn more about Prof. Horvath at: http://www.biostat.ucla.edu/people/horvath

Views: 2070
Computing Technologies Research Lab Streaming