week 5.pdf - Week 5 Logic of Hypothesis Testing In Week 4 you explored how the confidence interval helps to estimate a population mean Hypothesis

# week 5.pdf - Week 5 Logic of Hypothesis Testing In Week 4...

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Week 5: Logic of Hypothesis Testing In Week 4, you explored how the confidence interval helps to estimate a population mean. Hypothesis testing is an approach that allows us to make some determination about whether a hypothesis should be rejected, based upon sample statistics. This approach is integral to the scientific method and provides us with a measureable level of certainty when making inferences back to the population. Consider the following: A researcher is conducting work on social inequality and wants to know whether there are marked differences between socioeconomic status of Caucasians and Non- Caucasians. Since the researcher cannot measure the entire population, a sample is drawn and a hypothesis can be constructed and evaluated as to whether any noticeable differences in the sample also likely appear in the population. As a scholar-practitioner, it will be important for you to develop your knowledge and skillset in hypothesis testing. As evident in the scenario provided, hypothesis testing establishes a process to determine the probability of observing similar scores noted in the sample under the null hypothesis. For this week, you will examine hypothesis testing and determine the statistical significance and meaningfulness in the data. You also will explore the results of data to determine implications for social change. Learning Objectives Students will: Evaluate statements related to null hypothesis Evaluate p-values Evaluate type I and type II errors Evaluate for meaningfulness Evaluate statistical significance Evaluate sample size Analyze implications for social change Photo Credit: [Hero Images]/[Hero Images]/Getty Images Learning Resources Required Readings Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications. Chapter 8, “Testing Hypothesis” (pp. 203-204) Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications. Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation” Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.

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Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. Chapter 3, “Statistical Significance Testing” (pp. 81–124) Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
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