Question 31 (1 point) Listen When we say we are measuring something, we are interested in: O variance between the objects (people, firms etc.) O variance in attributes O the objects (people, firms etc.) O how many objects (people, firms) O how much of an attribute is present in ab object (people or firms etc.) Question 32 (1 point) Listen Which of the following might NOT be an appropriate strategy for dealing with missing information on a questionnaire? All of these might be appropriate. Substitute information based on the responses of similar respondents, if missing values are less than 5% of the overall data. Throw out the entire questionnaire. Overlook the missing information and use the remaining answers. If missing values are less than 5% of the overall data. Question 29 (1 point) Listen Interviewers are told to select a fixed number of men and a fixed number of women from certain city blocks, although the choice of which men and which women is left up to them. This is a: stratified sample O simple random sample O cluster sample O quota sample O probability sample Question 30 (1 point) Listen A researcher had calculated the sample chi-square test statistic to be equal to 7.71. For an alpha level of 0.10 and 4 degrees of freedom, the critical value of the chi- square statistic is 7.78. The appropriate conclusion is that the O null hypothesis should be accepted O null hypothesis should not be rejected. O alternative hypothesis is true. O null hypothesis should be rejected. Which type of statistical analysis would we use to determine if female college graduates' starting salary was different from their male counterpart (assuming data is collected using the following question on the survey "What is your starting salary?" Test of a single variance O Test for a single mean Test of difference between two means Test of two proportions Test for a single proportion Question 28 (1 point) Listen Agum 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: correlation variation O regression O correlation independent samples or two samples t-test for means deviation O paired sample t-test for means