Description
The Final Paper provides you with an opportunity to integrate and reflect on what you have learned during the class.
The question to address is: “What have you learned about statistics?” In developing your responses, consider—at a minimum—and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or measurements).
In your paper,
- Discuss the following course elements:
- Descriptive statistics
- Inferential statistics
- Hypothesis development and testing
- Selection of appropriate statistical tests
- Evaluating statistical results.
The Final Paper
- Must be three to five double-spaced pages in length (not including title and references pages) and formatted according to APA style as outlined in the Ashford Writing Center (Links to an external site.).
- Must include a separate title page with the following:
- Title of paper
- Student’s name
- Course name and number
- Instructor’s name
- Date submitted
- Must begin with an introductory paragraph that has a succinct thesis statement.
- Must address the topic of the paper with critical thought.
- Must end with a conclusion that reaffirms your thesis.
- Must use at least three scholarly sources in addition to the course text.
- Must document all sources in APA style as outlined in the Ashford Writing Center
- Must include a separate references page that is formatted according to APA style as outlined in the Ashford Writing Center.
Carefully review the Grading Rubric (Links to an external site.) for the criteria that will be used to evaluate your assignment.
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Explanation & Answer
Attached.
Running head: STATISTICAL ANALYSIS
Statistics
Course
Institution
1
STATISTICAL ANALYSIS
2
Introduction
Throughout the course I have learned a lot with regards to various concepts in the field
of statistics. Concepts learned include; hypothesis development, collection of data, carrying
out descriptive statistics, selection of appropriate tests to test the hypothesis, carrying out
inferential tests, and interpretation of results. This paper discusses in detail the various
statistical concepts learned.
Concepts Learned
Descriptive statistics
Descriptive statistics include all statistics that is aimed at merely summarizing the
collected data. Descriptive statistics therefore assist in summarizing large amounts of data by
computing specific numbers that reflect the data. Descriptive statistics can be computed for
both categorical and quantitative data. For categorical data, the descriptive statistics that can
be computed are usually frequencies and maybe the mode based on the frequencies generated.
Frequencies assist in compressing down categorical data into various groups. However, for
some categorical data it may be impossible to compute frequencies due to the diverse nature
of responses (Kaur, Stoltzfus & Yellapu, 2018) .
Descriptive statistics are best for summarizing quantitative data. For quantitative data,
the descriptive statistics computed include; measures of central tendency and measures of
dispersion. Measures of central tendency give values around which the data tends to revolve
around. The measures of central tendency include; the mean, median and mode. Measures of
dispersion are values that explain how data deviates from the ce...