A random sample of 1% students at a small university were asked a series of questions such as their status as an American or international student, major, gender, age, year in school, and current GPA. Other questions were asked about levels of satisfaction with campus parking, campus housing, and campus dining. Finally, students were asked if they planned to attend graduate school within five years of their college graduation. These data are contained in the data file Finstad and Lie Study, a. Estimate the population grade point average with 95% confidence level. b. Estimate the population proportion of students who were very dissatisfied (code 1) or moderately dissatisfied (code 2) with parking facilities on campus. Use a 90%o confidence level. c. Estimate the population proportion of students who were at least moderately satisfied (codes 4 and 5) with on-campus food service. The manager of Florin's Flower Mart obtained customer information that is stored in the data file Florin a. Estimate the mean age of the store's customers. b. Estimate the population proportion of customers that are dissatisfied with the store's delivery system. c. Estimate the population mean amount charged to a Visa credit card. Question.docx The sheet EZDescription describes the variables for this question. The data are on unemployment claims in Anderson (IN) from 1980 through November 1988. In 1984, an enterprise zone (“EZ”) was located in Anderson (as well as other cities in Indiana). An EZ provides “incentives for businesses to locate or expand in these distressed and blighted areas, which are often traditional downtown areas or old industrial and manufacturing areas that have gone through a protracted period of decline. Typically, EZ incentives consist of tax instruments, such as property tax abatements, income tax deductions and credits for employment creation, capital investment, and income creation in the EZs” (Indiana Business Journal). 1. Regress ln(uclms) on a linear time trend and 11 (!) monthly dummy variables. What was the overall trend in unemployment claims over this period? Interpret the coefficient on time? Is there evidence of seasonality in unemployment claims? 2. Add ez, a dummy variable equal to one in the months Anderson had an EZ, to the regression in part (1). Does having the EZ seem to decrease unemployment claims? 3. What assumptions do you need to make to attribute the effect in part (2) to the creation of an EZ? Data.xlsx EZmonthuclmsezyeary81y82y83y84y85y86y87y88luclmsjanfebmaraprmayjunjulaugsepoctnovdectimeJAN1836901980000000009.821000000000001FEB1766101980000000009.780100000000002MAR1634001980000000009.70010000000003APR1626801980000000009.70001000000004MAY1934001980000000009.870000100000005JUN1947101980000000009.880000010000006JUL1690901980000000009.740000001000007AUG1482001980000000009.60000000100008SEP1027401980000000009.240000000010009OCT674001980000000008.8200000000010010NOV436501980000000008.3800000000001011DEC6.