Search results “Statistical analysis of correlation”

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Views: 326605
Bhagwan Singh Vishwakarma

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

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-
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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.
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And finally thank you for watching…

Views: 192166
LEARN & APPLY: Lean & Six Sigma

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.
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Views: 675502
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: 519545
Phil Chan

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

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

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 .
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Views: 367522
Grooming Education Academy by Chandan Poddar

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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Watch Using Excel to find the Correlation Coefficient r here: https://youtu.be/y3bgaLwdm50
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Views: 239636
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.
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Views: 114693
CrashCourse

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

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

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

Follow me on Twitter @amunategui
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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

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

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

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: 4604
Data Analysis and Visualization Using R

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

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")

Views: 76694
Quantitative Specialists

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

Producer: C.Y. Ling

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T.Y. Tutorial

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

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[email protected]

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.
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Views: 7381
Ranywayz Random

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 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

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

Views: 216436
BrunelASK

Statistical analysis in Excel tutorial for beginners: Calculating correlation coefficient, weakening a relationship

Views: 14
Learn with video tutorials

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.
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Views: 70023
CrashCourse

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)
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.
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Views: 1051080
Khan Academy

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!
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Views: 43416
Khan Academy

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

Views: 13703
TheRMUoHP Biostatistics Resource Channel

Views: 27855
ChrisFlipp

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

Subject:Psychology
Paper:Applied Psychometrics

Views: 122
Vidya-mitra

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

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:
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Ask me questions
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Views: 2294
Sarveshwar Inani

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

This video explains you about correlation analysis and regression analysis.
This video is brought to you by:-
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Views: 312
PIE TUTORS

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
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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

How to build a correlation matrix in PAST statistical software

Views: 668
Yair suari

Quick intro to regression. How to make scatter plot on TI 83 84 89. Describing scatterplots (strength form direction strange stuff)...

Views: 23370
MrNystrom

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.
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Views: 79540
Analytics Analysis Business

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

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

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

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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