Sampling (statistics) | Equivalent units

Effective sample size

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How to calculate Samples Size Proportions

Introduction on how to calculate samples sizes from proportions. Describes the relationship of sample size and proportion. Like us on: http://www.facebook.com/PartyMoreStudyLess

From playlist Sample Size

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How to calculate Sample Size

A video on how to calculate the sample size. Includes discussion on how the standard deviation impacts sample size too. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Video How to calculate Samples Size Proportions http://youtu.be/LGFqxJdk20o

From playlist Sample Size

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How to Find a Sample Size

How to find a sample size using a variety of techniques: 0:00 Overview 0:17 Census 1:25 Literature Review 1:46 Tables 3:08 Cochran's Formula 4:24 Yamane's Formula 7:10 Formula for Sample Mean

From playlist Find Sample Size

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Calculate A Sample Size of A proportion

How to calculate a sample size for a proportion (percentage). Includes discussion on how sample changes as proportions (percentages) change. Calculating Sample Size https://youtu.be/i47gaNmEUM0 Calculating z scores https://www.youtube.com/playlist?list=PL6157D8E20C151497 Facebook http

From playlist Sample Size

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Calculate Sample Size Interval of A Population Mean

How to calculate the sample size. Includes discussion and visualization of how sample sizes changes when standard deviation, margin of error changes too. Calculating Sample Size of A Proportion https://youtu.be/ni3YAUF7qy4 Derving Equation https://youtu.be/5LvL1kbNoCM Calculating z sco

From playlist Sample Size

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Cohen’s d Effect Size for t Tests (10-7)

An effect size is “a standardized measure of the size of an effect”. Unlike p values, effect sizes can be objectively compared to determine whether a treatment had any practical usefulness. Cohen’s d is the most commonly used measure of effect size for t tests. This video makes three point

From playlist Statistical Significance vs. Effect Size

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Determine a Sample Size of a Population Proportion

This example explains how to determine the required sample size for a population proportion.

From playlist Confidence Intervals

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Independent-samples T-tests 2: Effect Size

In this video, I demonstrate how to calculate the effect size for independent-samples t-tests and interpret the results. Three effect sizes are discussed: 1. Cohen's d: two groups have similar SDs and the same size. 2. Glass's delta: if each group has a different SD. 3. Hedges' g: differ

From playlist Independent Samples t-Test

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Cochran's Formula for Sample Size

How to find a sample size using Cochran's formula. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics

From playlist Find Sample Size

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p-hacking and power calculations

P-values can be tricky things, and if we're not careful, we can report false positives much more frequently than 5% of the time. Here, I show how that can happen, and then I show to avoid it by doing power calculations - with an emphasis on the concepts behind the equations. For a complet

From playlist StatQuest

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Why Should we REPORT Effect Size for Hypothesis Tests (16-10)

Significance tells us that the effect was likely not due to chance. Effect size is a standardized measure of how large the effect was. Cohen’s d is the most commonly used measure of effect size for t tests. There are three statistical reasons to report an effect size: if generalization is

From playlist Assumptions, Significance, & Effect Size Wrap-Up (WK 16 - QBA 237)

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The Secret Trick to Calculate Cohen’s d in SPSS – It Can Be Done (11-9)

Cohen’s d is the most widely reported measure of effect size for t tests. Although SPSS does not calculate Cohen’s d directly, there are two ways to get it. First, you can enter your SPSS output into a downloadable calculator that will give you the effect size. Second, (at 8:30) you can us

From playlist WK11 Independent Sample t Tests and Paired t Tests - Online Statistics for the Flipped Classroom

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R - Chapter 8: Confidence Intervals, Effect Size, & Power - Lecture Part 2

Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2016 This video covers effect size and confidence intervals for a z-test in hypothesis testing. The lecture is from the eighth chapter in the Nolan and Heinzen Statistics for the Behavioral Sciences. Note: This video was r

From playlist PSY 200 (R) Undergraduate Statistics with Dr. B

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How to do a Paired Samples t Test in SPSS (11-7)

Using a dog training example, we compare two types of reinforcement training using a Paired Samples t-test. We work through the five steps of hypothesis testing, and conduct the Paired Samples t-test in SPSS. We compute Cohen’s d, we interpret the results, and write them up in proper APA

From playlist WK11 Independent Sample t Tests and Paired t Tests - Online Statistics for the Flipped Classroom

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Ses 6 | MIT Abdul Latif Jameel Poverty Action Lab Executive Training

Session 6: Sample Size and Power Calculations Speaker: Ester Duflo See the complete course at: http://ocw.mit.edu/jpal License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT Abdul Latif Jameel Poverty Action Lab Executive Training

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How to find Cohen's D to determine the Effect Size Using Pooled Standard Deviation

This statistics video tutorial explains how to calculate Cohen's d to determine if the size of the effect is small, medium, or large based on the differences between two sample means. This video also provides two ways to calculate the pooled standard deviation. My Website: https://www.v

From playlist Statistics

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R - More Statistics (4.2 Flip)

Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers understanding statistics as a model with a certain "fit", what is a model, what does fit mean, confidence intervals and more. These videos are part of a series for a flipped graduated

From playlist Graduate Statistics Flipped

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Statistics Lecture 6.4 Part 2

Statistics Lecture 6.4 Part 2: Sampling Distributions of Sample Statistics.

From playlist Statistics Playlist 1

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