'Independent samples t test' presentation slideshows

Statistics Review II

Statistics Review II. Types of statistical analyses (and when you use them) one sample z test one sample t test independent samples t test paired samples t test Pearson correlation one-way chi square one-way b/w subjects ANOVA one-way w/in subjects ANOVA multi-factor ANOVA w/in subs

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Effect Size

Effect Size . More to life than statistical significance Reporting effect size. Statistical significance. Turns out a lot of researchers do not know what precisely p < .05 actually means Cohen (1994) Article: The earth is round (p<.05)

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ANOVA Procedures

ANOVA (1 way) An extension of the 2 sample t-test used to determine if there are differences among > 2 group means ANOVA with trend test Test for polynomial trend in the group means ANOVA (2 way) Evaluate the combined effect of 2 experimental factors ANOVA repeated measures

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Effect Size

Effect Size . More to life than statistical significance Reporting effect size. OUTLINE. NHST problems Context and types of Effect Size Comparing samples: The d family of effect sizes Interpretation Understanding the individual: Case Level effect sizes The r family of effect

849 views • 31 slides

Effect Size

Effect Size . More to life than statistical significance Reporting effect size. OUTLINE. NHST problems Context and types of Effect Size Comparing samples: The d family of effect sizes Interpretation Understanding the individual: Case Level effect sizes The r family of effect

619 views • 31 slides

The t-test

The t-test. Inferences about Population Means. Questions. What is the main use of the t -test? How is the distribution of t related to the unit normal? When would we use a t-test instead of a z-test? Why might we prefer one to the other?

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Effect Sizes and Power Review

Effect Sizes and Power Review. Statistical Power. Statistical power refers to the probability of finding a particular sized effect Specifically, it is 1- type II error rate Probability of rejecting the null hypothesis if it is false

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One-sample

One-sample. In the previous cases we had one sample and were comparing its mean to a hypothesized population mean However in many situations we will use the t-test to compare two samples/groups of data. Two samples. Previously compared sample mean to a known population mean

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Chapter Eleven

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Difference Between Means

Difference Between Means. Learning Objectives. In this chapter you will learn about the t-test and its distribution t-test for related samples t-test for independent samples hypothesis testing how to use SPSS to test for differences between means. t Distribution.

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Outline

Stat 350 Lab Session GSI: Yizao Wang Section 016 Mon 2pm30-4pm MH 444-D Section 043 Wed 2pm30-4pm MH 444-B. Outline. Module 8, Two-Independent Samples t Test P-value Practice Midterm Feedback Please login with your UMID today. Two-Independent Samples t Test.

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Increased menopausal symptoms are related to decreased work ability

Increased menopausal symptoms are related to decreased work ability. M. Geukes, M.P. van Aalst, H. Oosterhof Department of Obstetrics and Gynecology, Nij Smellinge Hospital, Drachten, The Netherlands Van Aalst Arbo Advies, Bakkeveen,The Netherlands.

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