Variables, Z Scores, Population and Output
The student will complete the 8 short-answer discussions in this course and 1 long-answer
Integrating Faith and Learning discussion. In the thread for each short-answer discussion the
student will post short answers to the prompted questions. The answers must demonstrate course-related knowledge and support their assertions with scholarly citations in the latest APA format. Minimum word count for all short answers cumulatively is 200 words. The minimum word count for Integrating Faith and Learning discussion is 600 words. For each thread the
student must include a title block with your name, class title, date, and the discussion forum number; write the question number and the question title as a level one heading (e.g. D1.1 Variables) and then provide your response; use Level Two headings for multi part questions (e.g. D1.1 & D1.1.a, D1.1.b, etc.), and include a reference section.Respond to the following short answer questions from Chapter Three in the Morgan, Leech, Gloeckner, & Barrett textbook:
If you have categorical, ordered data (such as low income, middle income, high income) what type of measurement would you have? Why?
D2.3.2.
(a) Compare and contrast nominal, dichotomous, ordinal, and normal variables.
(b) In social science research, why isn’t it important to distinguish between interval and ratio variables?
D2.3.3. What percent of the area under the standard normal curve is within one standard deviation of (above or below) the mean? What does this tell you about scores that are more than one standard deviation away from the mean?
D2.3.4.
(a) How do z scores relate to the normal curve?
b) How would you interpret a z score of –3.0?
(c) What percentage of scores is between a z of –2 and a z of +2? Why is this important?
D2.3.5. Why should you not use a frequency polygon if you have nominal data? What would be better to use to display nominal data?