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Statistical Analysis
Discussion Assignment Instructions
The student will complete five (5) Discussions in this
course. The student will post one thread of at least 500 words
by 11:59 p.m. (ET) on Thursday of the assigned Module: Week. The student
must then post three (3) replies of at least 250 words
by 11:59 p.m. (ET) on Sunday of the assigned Module: Week. For
each thread, students must support their assertions with at
least 2 scholarly citations and one Holy Bible reference in the
current APA format. Each reply must incorporate at
least 1 scholarly citation and one Holy Bible
reference in the current APA format. Any sources cited must have
been published within the last five years. Acceptable sources include peer
reviewed journal articles, the textbook, the Bible, etc..
Choose one of the following three
topics below for your discussion:
1. Describe
the descriptive statistics to be examined before and after implementation of
the chosen anticrime/prevention program.
2. Post the
mean, median, mode, variance, and standard deviation of the pre-data for your
anticrime/prevention program.
3. Post a
description of the inferential statistics you will use to analyze your
anticrime/prevention program. Explain the reasons for your analytical approach.
Statistical Analysis
Describe the Methods/Design and Statistical Analysis that you will use in your project. Use the evidence from the peer reviewed articles that you have critically appraised and synthesized. Follow APA format and cite references. Include the following:
1. Describe the evaluative criteria (indicators or variables) to be addressed in answering each evaluation question.
2. Describe the research approaches to be used to answer each question and why they are appropriate to the evaluation questions posed.
3. Describe in specific detail how data will be collected related to each of your evaluative criteria/indicators. Discuss exactly how the data be collected, when, and by whom. Describe any data collection tools in terms of their development and appropriateness in answering the evaluation questions. Provide information on validity and reliability of tools, if available. Explain why the data collection methods are appropriate to the research approach, type of data, and purpose of the evaluation.
4. Describe how you will analyze the data, including specific statistical tests to be used. Include dummy data tables if applicable to show how you will display your findings.
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