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Question 1. 1. In most multivariate analyses, the goal is to see whether one _________ variable has an influence on another __________ variable. (Points :

Question 1.1.In most multivariate analyses, the goal is to see whether one _________ variable has an influence on another __________ variable. (Points : 3)
independent, predictor predictor, outcome independent, outcome outcome, dependent Both b and c.

Question 2.2.Coding transforms raw data into ____ that may be ____. (Points : 3)
secondary data, tabulated symbols, manipulated accessible form, automatically retrieved tables, easily perceived tables, analyzed for relationships between variables

Question 3.3.Which of the following is NOT a recommended coding convention? (Points : 3)
Use as many columns as necessary for the field. Locate only one character in each column. Use alphabetic codes if possible. Use consistent codes for similar types of responses. Code in an identification number for each questionnaire. Chapter 17

Question 4.4.The upper limit of the Pearson chi-square test of independence is limited by (Points : 3)
sample size. the distribution of cases across the cells. degrees of freedom. Both a and b. a, b, and c.

Question 5.5.Which of the following statements about the Pearson chi-square test of independence is NOT true? (Points : 3)
It assesses the degree to which variables in a cross-tabulation are independent of one another. The value can range from zero to some upper value limited by sample size and distribution of cases across the cells. It doesn't measure the strength of association when variables are dependent. It is only useful for univariate analysis. All of the above are true.

Question 6.6.Which of the following is FALSE about cross tabulations? (Points : 3)
Cross tabulations work equally well with continuous measures that have been recast as categorical measures. Cross tabulations are used for studying the relationships between two (or more) categorical variables. Recasting continuous measures into categories may result in lowered statistical power. Cross tabulation seeks to investigate the influence of the independent variable on the dependent variable. Recasting continuous measures into categories almost never results in the loss of information.

Question 7.7.If the null hypothesis of no differences across groups is true, (Points : 3)
total variation should be equal to between-group variation. between-group variation should be equal to within-group variation. within-group variation should be equal to total variation. Both a and b. a, b, and c.

Question 8.8.A gum manufacturer wants to determine whether blue packaging or red packaging is preferred. The company performs a sales test by introducing red packages into a random sample of ten stores and blue packages are introduced in an independent, random sample of ten stores. The technique most appropriate for analyzing the data is (Points : 3)
paired sample t-test for means. Spearman rank-order correlation analysis. regression analysis. independent samples t-test for means. correlation analysis.

Question 9.9.Given a cross tabulation between years of education and income, we would compute percentages in the direction of years of education because (Points : 3)
the probability that given X income you will have Y years of education makes sense. the probability that given X years of education you will have Y income makes sense. It doesn't matter which way you do it. Both a and b. None of the above.

Question 10.10.The purpose of the coding process is (Points : 3)

to transform raw data into symbols. encrypt the raw data so that it is secure from unauthorized use. determine if the raw data meets minimum quality standards. detect incorrect or invalid responses. separate completed questionnaires from incomplete ones.

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