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Unit IV Power Point Presentation
WhatsAppUnit IV PowerPoint Presentation
- Weight: 9% of course grade
Instructions
In this unit, you learned how to determine sample size and estimate confidence intervals. For this assignment, you will create a PowerPoint presentation that further explores these concepts. In your presentation, you must include the following elements:
- a definition of point estimate, standard error, confidence level, and margin of error;
- a discussion of at least three major methods of determining sample sizes, comparing the different methods; and
- an explanation of the effects (advantages and limitations) of a small sample size, a very large sample size, and an adequate sample size on any research study.
Your PowerPoint presentation must be a minimum of eight slides (not counting the title and reference slides). Use graphics as necessary to support the content of your presentation. You must use at least two references. Any information from those sources must be cited and referenced in APA format.
PUH 5302, Applied Biostatistics 1
Course Learning Outcomes for Unit IV Upon completion of this unit, students should be able to:
6. Summarize the major principles for determining sample size and power. 6.1 Define point estimate, standard error, confidence level, and margin of error. 6.2 Compare major methods for determining sample size and power. 6.3 Explain the effects of different sample sizes.
Course/Unit Learning Outcomes
Learning Activity
6.1 Unit Lesson Chapter 6 Unit IV PowerPoint Presentation
6.2 Unit Lesson Chapter 6 Unit IV PowerPoint Presentation
6.3 Unit Lesson Chapter 6 Unit IV PowerPoint Presentation
Reading Assignment Chapter 6: Confidence Interval Estimates
Unit Lesson Welcome to Unit IV. In the previous unit, we discussed how probability principles were applied to solving some public health issues. We discussed population and samples and the various methods of obtaining samples from a population. We also stressed the importance for having the sample reflective of the population to enable the generalization of results. In this unit, we will discuss sample size determination. That is, how do we know that the sample we have selected is enough for a given population? We will discuss some parameters considered in sample size determination and in inferential statistics. Before we get to sample size determination, let us define some relevant terms that are used in sample size determination. Point estimate is a statistical process of finding the approximate value of a parameter (Sullivan, 2018). For example, we may have a set of data (a set of test scores). From those scores, we may calculate the mean, median, mode, or percentages. We may use those values to describe or say something about the population under study (students). Those values are the point of estimate since we are trying to estimate a point such as the mean or median. In fact, any statistic can be a point of estimate.
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