I demonstrate how to perform and interpret a paired samples t-test in SPSS. I also point out that many people fail to test the homogeneity of variance assumption in the paired samples t-test, but that this can be done relatively easily with a Pitman-Morgan test. paired t-test
Views: 314780 how2stats
Hypothesis test for the difference between means of two populations. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/two-sample-inference/two-sample-t-test-means/v/two-sample-t-test-for-difference-of-means?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: 87238 Khan Academy
(Part 2) I demonstrate how to write a high quality results section for a dependent samples t-test (aka., paired samples t-test).
Views: 7155 how2stats
This is the second video of 2 addressing how you can calculate Cohen's d (effect size index) and interpret it in light of your paired samples test results in SPSS.
Views: 11549 Mike Crowson
This video demonstrates how to use the “z-Test: Two Samples for Means” analysis in Microsoft Excel. This z-test analysis is used to determine if there is a statistically significant difference between two sets of scores when the population variance is known.
Views: 19155 Dr. Todd Grande
STATA Tutorials: T-test: Comparing Two Means From Independent Samples is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund. For more information on the Departmental of Methodology visit http://www.lse.ac.uk/methodologyInstitute or follow us on http://twitter.com/MethodologyLSE LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
Views: 61824 Methodology LSE
Get the full course at: http://www.MathTutorDVD.com The student will learn the big picture of what a hypothesis test is in statistics. We will discuss terms such as the null hypothesis, the alternate hypothesis, statistical significance of a hypothesis test, and more. In this step-by-step statistics tutorial, the student will learn how to perform hypothesis testing in statistics by working examples and solved problems.
Views: 1464837 mathtutordvd
How to run an independent samples t-test in SPSS 22 and calculate and interpret effect size using Cohen's d.
Views: 43361 Peter Naegele
I demonstrate how to perform a one sample-test in SPSS using two different examples. The one sample t-test is appropriate for testing hypotheses about the difference between a sample mean and a population "mean" (or "mu") when the population standard deviation (sigma) is not known.
Views: 63645 how2stats
Another way of measuring the difference between two samples is to compare two unrelated samples. In this design, you measure two groups one time; in contrast, the previous paired test measured the same sample two times. With independent samples, you test whether the means of the samples are, not just different, but statistically significantly different. 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: 57900 Research By Design
How to Use SPSS When we calculate the mean of a sample, we can then use a one-sample t test to compare that sample mean to another mean, such as a mean from a population or a normative group. This video will introduce you to concepts that you will need later when you learn about hypothesis testing. 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: 56270 Research By Design
(Part 2) I demonstrate how to write a high quality results section for an independent samples t-test.
Views: 49910 how2stats
This video demonstrates how to conduct and interpret a Welch test in SPSS. The Welch test is used with unequal sample sizes and when the homogeneity of variances assumption for One-Way ANOVA is violated (statistically significant Levene’s test). Testing the assumption of normality for ANOVA is reviewed.
Views: 18993 Dr. Todd Grande
This video shows how to conduct a one-sample hypothesis t-test for the mean in Microsoft Excel using the built-in Data Analysis (from raw data). How to load Data Analysis in Excel: https://youtu.be/SqpSwxJ9t2k
Views: 108138 Joshua Emmanuel
This video stalks about Two independent sample t-test and the various Statistics involved. Text file: https://drive.google.com/file/d/0BxwFlYNA7JmEZWVueWp5THNGNmM/view?usp=sharing Datafile: https://drive.google.com/file/d/0BxwFlYNA7JmEMXNEUlhmN2lxTm8/view?usp=sharing
Views: 2608 Neeraj Kaushik
This video explains everything you need to know about the t-test for beginners and novices. It also provides a practical example and walks through how to analyze sample dataset. Finally, it shows you how to report and write the results of the t-test. Link to the dataset - https://docs.google.com/spreadsheets/d/1CWZWan8gJVjRHanhkcJ8FXSbbhFwx1XQUnsNTHWBudI/edit?usp=sharing Table of Contents: 01:19 - The D.E.A.R. Method 01:23 - Define: t-test 04:03 - Define: Independent Samples t-test 04:52 - The D.E.A.R. Method 04:59 - Example: Independent Samples t-test 05:09 - The D.E.A.R. Method 05:09 - Example: Independent Samples t-test 07:25 - Example: Dataset 08:31 - Example: Dataset 08:32 - The D.E.A.R. Method 08:43 - Example: Dataset 08:43 - The D.E.A.R. Method 08:44 - Apply: Independent Samples t-test 11:02 - Apply: Independent Samples t-test 11:04 - Apply: Independent samples t-test 11:55 - Apply: Independent samples t-test 15:00 - Apply: Independent samples t-test 15:16 - The D.E.A.R. Method 15:29 - Report: Independent Samples t-test 17:11 - Report: What we know and what we don’t know
Views: 21229 Chris Lam
Statistics with R | Two Sample t-test
Views: 12307 Dragonfly Statistics
This video shows how to conduct a one-sample hypothesis z-test for the mean in Microsoft Excel using the built-in Data Analysis (from raw data). How to load Data Analysis in Excel: https://youtu.be/SqpSwxJ9t2k Data used: Age 25 30 23 21 24 22 24 25 22 21 22 18 20 24 24 22 23 19 21 20 21 21 19 21 19 24 20 20 20 23 22 23 19 22 19
Views: 49747 Joshua Emmanuel
http://alphabench.com/data/excel-paired-samples-test.html Test for a mean difference in paired or related samples using Excel. Use output to calculate a confidence interval. Some texts also refer to this as a repeated measures test. See the following for how to use the T.TEST function to test hypotheses: https://youtu.be/HD77RI3EKt8
Views: 169640 Matt Macarty
This video describes how to perform one-sample and independent-samples t tests using SPSS.
Views: 13213 Dr. Todd Grande
This video examines how to interpret the confidence interval for the independent samples t test in SPSS. Confidence intervals can be used instead of the p-value to assess whether or not the test is significant. 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 Video Transcript: In the previous video we ran the independent samples t-test for a problem where we were comparing the no music group versus the high volume group and examining whether there was a significant difference between these two groups in terms of their test scores. When we ran that we had the output that showed a significant difference with the p of .014 between our two groups. Now, alternatively, instead of looking at the p-value we could interpret the ninety-five percent confidence interval and that's what I want to do here. Notice this range does not include zero and you may recall from a previous presentation on the one-sample t that we had said that if zero was not in this range, that indicates that the test is statistically significant; that is, there's a significant difference between our two groups and since this range does not include zero, the test is significant and we can see that confirmed by a p-value of less than or equal to .05. Another way to think about it is if zero was in this range, say this was negative 1.69 and this was 13.11, zero would be in this range if this was negative if you saw that then the p-value here would also be greater than .05. So this is another way to interpret the results of the independent samples t-test - we can look at the ninety-five percent confidence interval and once again if zero is not in the range that means the test is statistically significant whereas if zero is included in this range then the test is not statistically significant. This concludes the presentation on the ninety-five percent confidence interval for the independent samples t-test. Thanks for watching.
Views: 5693 Quantitative Specialists
(Part 2) I demonstrate how to write a high quality results section for an independent samples t-test.
Views: 19813 how2stats
one sample t test using spss for beginners step by step with interpretation
Views: 649 Kirti Joshi
When you want to compare a sample with a population, the one sample t test is what you need. In this exercise you will learn how to compare a sample of 20 measures of systolic blood pressure with a known population mean of 120.
Views: 13095 Eugene O'Loughlin
We check the significance of the difference in means between 2 samples using a T Test (in Excel). Dataset can be downloaded at www.learnanalytics.in/blog/wp-content/uploads/2014/02/car_sales.xlsx
Views: 14954 Learn Analytics
How to perform a Brown-Forsythe and Welch F tests in SPSS. These tests are robust to violation of the homogeneity of variance assumption. I also show the degree to which these tests work at keeping alpha close to .05 across various conditions based on published simulation research.
Views: 32733 how2stats
Visit http://www.statisticshowto.com/how-to-do-a-t-test-in-excel-2013/ for more information on t-tests and hypothesis testing
Views: 225642 Stephanie Glen
I demonstrate how to perform a one-sample z-test in SPSS. The z-test is useful to test the hypothesis that a sample mean is equal to a population mean when the population standard deviation (sigma) is known. The syntax can be found here at the URL below. It's a text file. Copy the contents of the text file into a SPSS syntax file: https://sites.google.com/site/how2statsdata/one_sample_z_test_SPSS.txt?attredirects=0&d=1
Views: 48883 how2stats
For my undergraduate statistics students, a walk through of your Exam 3 analysis and write up. I'm using a very old copy of SPSS (18), so your screen may look slightly different.
Views: 6321 Amanda Kraha
Using a dog-training example, we compare two types of reinforcement training using an independent samples t-test. We work through the five steps of hypothesis testing, and conduct the independent samples t-test in SPSS. We evaluate the Levene’s Test for Equality of Variances and compute Cohen’s d. Finally, we interpret the results and write them up in proper APA style. (Updated 6/17 to reflect changes in the Effect Size Calculator). RStats Effect Size Calculator for t Tests available at: http://www.MissouriState.edu/RStats/Tables-and-Calculators.htm
Views: 26924 Research By Design