Statistical Analysis

A researcher must have a solid understanding of statistical analysis and possible statistical errors both when designing their study and for analyzing the data. With the understanding of possible errors, a researcher can take precautionary steps when designing their study to minimize or eliminate them. Then once the data is collected, the researcher must know how to evaluate the data with the most appropriate analysis tools. For this assignment, you will create a 3-4 page document following the directions below.

Part I: Explain Statistical Errors (1page)
Understanding the different primary statistical errors that are possible and how to control or minimize them, are vital when designing a research study. First, complete the following:
a. Summarize and explain the difference between Type I and Type II errors.
b. Discuss what connection they have with null and alternate hypotheses.

Part II: Determine Methods (2-3 pages)
1. Describe the agency, program, or department you will be using for your Program Evaluation Proposal.

2. Describe in detail how your data will be analyzed. Your evaluation should be based on a mixed-method design and you will need to analyze both quantitative and qualitative data. For Part II of this assignment, complete the following:
a. Determine the statistical test you will use to analyze the quantitative data.
b. Justify why this test(s) is a good fit for your analysis.
c. Explain the key components of this test(s).
d. Describe how you will analyze your qualitative data.
e. Justify why this strategy is the best fit for the type of qualitative data you are collecting.

Your final product will be in a word document and be approximately 3-4 pages in length and utilize 2-3 scholarly sources in your research. Your paper should be written in a clear, concise, and organized manner; demonstrate ethical scholarship in accurate representation and attribution of sources; and display accurate spelling, grammar, and punctuation.


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