PSYC 2002 Lecture Notes - Lecture 7: Repeated Measures Design, Speed Reading, Null Hypothesis

72 views10 pages

Document Summary

Single sample t-test: degrees of freedom, t-distributions, hypothesis testing w/ t-tests t distribution table. Confidence intervals & effect size for single-sample t. Independent samples-t: limitations of single-sample t-test, development of general formula for independent sample t-test. Independent samples t-test: nh chapter 9 (the single-sample t-test & paired-samples t-test, nh chapter 10 (the independent samples t-test) Confidence intervals using t are similar in form to those used w/ z. General ci formula: ci limits = statistic ( value)(se) Where m = sample mean; z = critical point based on (e. g. , 1. 96) Where m = sample mean; t = tcritical associated w/ degrees of freedom for sample size n; sm = standard error of mean. Remember: ci = alternative to hypothesis testing, but we"re also testing it against null hypothesis. Our confidence level (e. g. , 95%) determines how confident we are that mean of true population (according to null hypothesis) falls within ci limits.

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents