##### Compare and contrast nominal, dichotomous, ordinal, and normal variables.In social science research, why isn’t it important to distinguish between interval and ratio data?

**Variables, Z Scores, Population and Output DB 820**

Answer the short-answer questions below. The answers must demonstrate course-related knowledge and assertions must be supported with scholarly citations (minimum of 3) in the 7th APA (A MUST) edition format. Minimum word count for all short answers cumulatively is 250 words.

INSERT SHORT ANSWER TO THE QUESTION LISTED BELOW

Respond to the following short answer questions from Morgan, Leech, Gloeckner, & Barrett textbook:

D2.1 Working with Variables.Compare and contrast nominal, dichotomous, ordinal, and normal variables.In social science research, why isn’t it important to distinguish between interval and ratio data?

D2.2 z scores and the population.How do z scores relate to the normal curve?How would you

interpret a z score of ‐3.0?What percentage of scores is between a z of ‐2 and a z of +2? Why is this important?

D2.3 Interpreting Output 4.1b. a) For which variables identified as scale is the skewness statistic more than 1.00 or less than ‐1.00?Why is this answer important? Does this agree with the boxplot in Output 4.2? Explain your answer.

D2.4 Interpreting Output 4.4. a) Can you interpret the means? Explain your answer.How many participants are there all together?How many have complete data (nothing missing)?What percentage are male?What percentage took algebra?