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# Lecture Examples

• ### Body Worn Camera Experiment

This website is a summary of a randomized controlled trial of a metropolitan police department's body-worn camera program. It is useful in class to talk about the design of the experiment and also to talk about how they state their results. Their results are given as confidence intervals for differences.

• ### Sample Size Determination In Research

This is a complete lesson module (including example problems with answers to selected problems) for the purpose of enabling students to: 1) Provide examples demonstrating how the margin of error, effect size, and variability of the outcome affect sample size computations. 2) Compute the sample size required to estimate population parameters with precision. 3) Interpret statistical power in tests of hypothesis. 4) Compute the sample size required to ensure high power when hypothesis testing.
• ### Why Do We Need to Compute the Power of a Test?

When performing a hypothesis test about the population mean, a possible reason for the failure of rejection of the null hypothesis is that there's an insufficient sample size to achieve a powerful test. Using a small data set, Minitab is used to check for normality of the data, to perform a 1-Sample t test, and to compute Power and Sample Size for 1-Sample t.

• ### Testing Assumptions: Normality & Equal Variances

Document (pdf) illustrating a test of normality using an Anderson-Darling test in MINITAB and a test of equality of variances with an F-test in EXCEL.
• ### Power and Sample Size Determination

Powerpoint explaining what power is and how power and sample size are related to one another.
• ### Sample Size Determnation

Presentation that covers: the significance of sample size, determination of sample size, factors that may affect sample size, and how to use sample size in a research or study.
• ### Power and Sample Size

Presentation that applies the topics of power and sample size to examples in epigenetic epidemiology studies. Step by step solutions using statistical softwares G*Power and STATA are given.
• ### Interpreting the P-Value and Significance Level

Video that will teach you how to interpret the P-Value and significance level for a two-tailed hypothesis test that is not rejected.
• ### Two-Sided Testing and C.I. s; Choosing the Levels of Significance

Powerpoint that covers statistical testing and choosing the level of significance. It also shows statistical significance vs. practical significance.
• ### Statistical Quality Control

Slideshow that describes what statistical quality control is and how it is used.