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 data?

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.

Refer to the chapters attached (mainly chapters 3-4) and Keller’s Part II section.

Do NOT retype the questions. Use only the number of the question (i.e.: D2.1 then the answer)

INSERT SHORT ANSWER TO THE QUESTION LISTED BELOW

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

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 data?

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?

For which variables identified as scale is the skewness statistic more than 1.00 or less than ‐1.00? b) Why is this answer important? C) Does this agree with the box plot in Output 4.2? Explain your answer.

Can you interpret the means? Explain your answer. b) How many participants are there all together? c) How many have complete data (nothing missing)? d) What percentage are male? e) What percentage took algebra?