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Analyze, evaluate, and discuss the above descriptive statistics in relation to assumptions required for parametric testing. Confirm whether the assumptions are met or are not met.

Utilize Microsoft Excel Toolmaker and this template to complete your assignment. The links to the Toolmaker are here in the Course Project Guidance document.
Your submission should include the below elements.
· Research Methodology: Describe and justify the choice of research methodology and why it was most suitable for the problems/dilemmas. Be sure to compare and contrast this choice with the design that was not selected.
· Research Design: Explain whether the research design is exploratory, causal, or descriptive. Provide the rationale for the choice.
· Research Methods: Review the research questions and hypotheses you developed in Unit II, and then decide on the most appropriate research methods to test your hypotheses. Choices include, but are not limited to,
experiment, correlation, and causal-comparative. Be sure to specify which method will be used to test which research question and hypotheses, and explain why that method was most appropriate.
· Data Collection Methods: Specify how the data were collected to test the hypotheses. Data collection methods include, but are not limited to, survey, observation, and records analysis. Be sure to specify which data collection
method was used to collect the data needed for each research question and hypothesis. Note that one data collection method could capture the data for several research questions and hypotheses.
· Sampling Design: Briefly describe the type of sampling design that was most likely used for the data that were collected. Choices include, but are not limited to, random sample, convenience sample, etc. Explain your rationale for your sampling design selection(s).
· Data Analysis Procedures: Specify which statistical procedures will be used to test each of your hypotheses from among correlation, regression, t test, and NOVA. Explain why each procedure was the most appropriate choice.
· Produce a frequency distribution table and histogram · Generate descriptive statistics table, including measures of central tendency (mean, median, and mode), Kurtis,
and newness.
· Describe the dependent variable measurement scale as nominal, ordinal, interval, or ratio.
· Analyze, evaluate, and discuss the above descriptive statistics in relation to assumptions required for parametric testing. Confirm whether the assumptions are met or are not met.
The title and reference pages do not count toward the page requirement for this assignment. This assignment should be
no less than three pages in length, follow SPA-style formatting and guidelines, and use references and citations as necessary.
 

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