Variable Name Sex Age Sales Records Purchases Educational Attainment Code and Indicators Measurement 0 = Female 1 = Male 1 = below 21 years old 2 = 21 to 31 years old 3= above 31 years old in US dollars in US dollars 1 = elementary 2= high school 3 = college 4 = graduate school Levels of Measurement

1. Identify whether the variable in the information below is qualitative or quantitative. A nurse collects blood from kids and measure their blood-sugar content. This measure of blood-sugar concentration is a variable. a. quantitative b. qualitative c. qualitative as well as quantitative d. neither qualitative nor quantitative 2. Identify the technique for gathering data in the study below. A pharmaceutical firm wants test the effectiveness of a new drug. It wants to know if the new drug is significantly stronger than the conventional drug. This is a/an study. a. observational b. experimental c. census d. sampling 3. You want to plot a frequency graph of daily rainfall, with rainfalls (inches) on the horizontal axis. You will use a a. bar chart b. histogram c. cumulative frequency d. best fit line 4. Frequency of categorical data are displayed using a a. bar chart b. histogram c. time series graph d. best fit line

Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Which statement below best describes the meaning of the second bin (or class)? A. There were 65 snacks that contained 2 milligrams of sugar. B. There were 2 snacks that contained between 65 and 70 milligrams of sugar. C. There were 2 snacks that contained 65 milligrams of sugar. D. There were between 65 and 70 snacks that contained 2 milligrams of sugar. E. There were 2 snacks that contained 70 milligrams of sugar. F. There were 70 snacks that contained 2 milligrams of sugar.

State the empirical rule for variables.

The data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total enrollment; police, employed officers. Use the estimated OLS models to answer the questions below: Model A: In(crime) = -6.631 + 1.270ln(enroll), (1.034) (.110) .5804 n = 97; R² = Model B: In(crime) = -4.794+.923ln(enroll) +.516ln(police), (.144) (.149) (1.112) n = 97; R² = .632 Using Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a two-sided alternative). What is the conclusion of your test using a significance level of .01? Reject Fail to reject O Not enough information.