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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
EZmonthuclmsezyeary81y82y83y84y85y86y87y88luclmsjanfeb
maraprmayjunjulaugsepoctnovdectimeJAN183690198000000000
9.821000000000001FEB1766101980000000009.7801000000000
02MAR1634001980000000009.70010000000003APR162680198
0000000009.70001000000004MAY1934001980000000009.8700
00100000005JUN1947101980000000009.880000010000006JUL
1690901980000000009.740000001000007AUG14820019800000
00009.60000000100008SEP1027401980000000009.2400000000
10009OCT674001980000000008.8200000000010010NOV43650
1980000000008.3800000000001011DEC618901980000000008.7
300000000000112JAN647901981100000008.781000000000001
3FEB689401981100000008.8401000000000014MAR650201981
100000008.7800100000000015APR513901981100000008.54000
10000000016MAY396301981100000008.2800001000000017JU
N413901981100000008.3300000100000018JUL4289019811000
00008.3600000010000019AUG547401981100000008.61000000
01000020SEP657701981100000008.7900000000100021OCT740
801981100000008.9100000000010022NOV91380198110000000
9.1200000000001023DEC1755901981100000009.770000000000
0124JAN1813601982010000009.8110000000000025FEB193230
1982010000009.8701000000000026MAR2315501982010000001
0.0500100000000027APR1704601982010000009.740001000000
0028MAY1087401982010000009.2900001000000029JUN89850
1982010000009.100000100000030JUL722601982010000008.89
00000010000031AUG887601982010000009.0900000001000032
SEP720101982010000008.8800000000100033OCT86880198201
0000009.0700000000010034NOV1341101982010000009.50000
0000001035DEC1522501982010000009.6300000000000136JAN
1507901983001000009.6210000000000037FEB1301401983001
000009.4701000000000038MAR1275101983001000009.450010
0000000039APR743701983001000008.9100010000000040MAY
655701983001000008.7900001000000041JUN53010198300100
0008.5800000100000042JUL430001983001000008.3700000010
000043AUG518401983001000008.5500000001000044SEP3395
01983001000008.1300000000100045OCT315501983001000008.
0600000000010046NOV349701983001000008.16000000000010
47DEC390201983001000008.2700000000000148JAN486611984
000100008.4910000000000049FEB437611984000100008.38010
00000000050MAR438511984000100008.3900100000000051AP
R342311984000100008.1400010000000052MAY328611984000
100008.100001000000053JUN323811984000100008.080000010
0000054JUL319011984000100008.0700000010000055AUG397
711984000100008.2900000001000056SEP286411984000100007
.9600000000100057OCT323511984000100008.08000000000100
58NOV441411984000100008.3900000000001059DEC46951198
4000100008.4500000000000160JAN669811985000010008.8110
000000000061FEB579711985000010008.6701000000000062M
AR477111985000010008.4700100000000063APR407411985000
010008.3100010000000064MAY353611985000010008.1700001
000000065JUN332311985000010008.1100000100000066JUL41
1611985000010008.3200000010000067AUG3760119850000100
08.2300000001000068SEP293011985000010007.980000000010
0069OCT286111985000010007.9600000000010070NOV296611
985000010007.9900000000001071DEC401611985000010008.30
0000000000172JAN525411986000001008.5710000000000073F
EB520511986000001008.5601000000000074MAR47831198600
0001008.4700100000000075APR415911986000001008.3300010
000000076MAY347011986000001008.1500001000000077JUN3
15511986000001008.0600000100000078JUL3831119860000010
08.2500000010000079AUG381211986000001008.25000000010
00080SEP270011986000001007.900000000100081OCT2859119
86000001007.9600000000010082NOV301811986000001008.01
00000000001083DEC432411986000001008.3700000000000184
JAN543011987000000108.610000000000085FEB572911987000
000108.6501000000000086MAR530311987000000108.5800100
000000087APR356111987000000108.1800010000000088MAY3
05211987000000108.0200001000000089JUN328211987000000
108.100000100000090JUL374311987000000108.230000001000
0091AUG678211987000000108.8200000001000092SEP238111
987000000107.7800000000100093OCT209011987000000107.64
00000000010094NOV230111987000000107.7400000000001095
DEC355111987000000108.1700000000000196JAN51431198800
0000018.5510000000000097FEB596611988000000018.6901000
000000098MAR515511988000000018.5500100000000099APR2
66411988000000017.89000100000000100MAY22511198800000
0017.72000010000000101JUN248411988000000017.820000010
00000102JUL343011988000000018.14000000100000103AUG5
15611988000000018.55000000010000104SEP199311988000000
017.6000000001000105OCT172911988000000017.46000000000
100106NOV198211988000000017.59000000000010107
EZDescriptionVariableDescriptionmonthname of
monthuclmsunemployment claimsezPresence of EZyear1980
through 1988y81=1 if year ==
1981y82y83y84y85y86y87y88luclmsln(uclms)jan=1 if month
== JANfebmaraprmayjunjulaugsepoctnovdec
Load.xlsx
EZmonthuclmsezyeary81y82y83y84y85y86y87y88luclmsjanfeb
maraprmayjunjulaugsepoctnovdectimeJAN183690198000000000
9.821000000000001FEB1766101980000000009.7801000000000
02MAR1634001980000000009.70010000000003APR162680198
0000000009.70001000000004MAY1934001980000000009.8700
00100000005JUN1947101980000000009.880000010000006JUL
1690901980000000009.740000001000007AUG14820019800000
00009.60000000100008SEP1027401980000000009.2400000000
10009OCT674001980000000008.8200000000010010NOV43650
1980000000008.3800000000001011DEC618901980000000008.7
300000000000112JAN647901981100000008.781000000000001
3FEB689401981100000008.8401000000000014MAR650201981
100000008.7800100000000015APR513901981100000008.54000
10000000016MAY396301981100000008.2800001000000017JU
N413901981100000008.3300000100000018JUL4289019811000
00008.3600000010000019AUG547401981100000008.61000000
01000020SEP657701981100000008.7900000000100021OCT740
801981100000008.9100000000010022NOV91380198110000000
9.1200000000001023DEC1755901981100000009.770000000000
0124JAN1813601982010000009.8110000000000025FEB193230
1982010000009.8701000000000026MAR2315501982010000001
0.0500100000000027APR1704601982010000009.740001000000
0028MAY1087401982010000009.2900001000000029JUN89850
1982010000009.100000100000030JUL722601982010000008.89
00000010000031AUG887601982010000009.0900000001000032
SEP720101982010000008.8800000000100033OCT86880198201
0000009.0700000000010034NOV1341101982010000009.50000
0000001035DEC1522501982010000009.6300000000000136JAN
1507901983001000009.6210000000000037FEB1301401983001
000009.4701000000000038MAR1275101983001000009.450010
0000000039APR743701983001000008.9100010000000040MAY
655701983001000008.7900001000000041JUN53010198300100
0008.5800000100000042JUL430001983001000008.3700000010
000043AUG518401983001000008.5500000001000044SEP3395
01983001000008.1300000000100045OCT315501983001000008.
0600000000010046NOV349701983001000008.16000000000010
47DEC390201983001000008.2700000000000148JAN486611984
000100008.4910000000000049FEB437611984000100008.38010
00000000050MAR438511984000100008.3900100000000051AP
R342311984000100008.1400010000000052MAY328611984000
100008.100001000000053JUN323811984000100008.080000010
0000054JUL319011984000100008.0700000010000055AUG397
711984000100008.2900000001000056SEP286411984000100007
.9600000000100057OCT323511984000100008.08000000000100
58NOV441411984000100008.3900000000001059DEC46951198
4000100008.4500000000000160JAN669811985000010008.8110
000000000061FEB579711985000010008.6701000000000062M
AR477111985000010008.4700100000000063APR407411985000
010008.3100010000000064MAY353611985000010008.1700001
000000065JUN332311985000010008.1100000100000066JUL41
1611985000010008.3200000010000067AUG3760119850000100
08.2300000001000068SEP293011985000010007.980000000010
0069OCT286111985000010007.9600000000010070NOV296611
985000010007.9900000000001071DEC401611985000010008.30
0000000000172JAN525411986000001008.5710000000000073F
EB520511986000001008.5601000000000074MAR47831198600
0001008.4700100000000075APR415911986000001008.3300010
000000076MAY347011986000001008.1500001000000077JUN3
15511986000001008.0600000100000078JUL3831119860000010
08.2500000010000079AUG381211986000001008.25000000010
00080SEP270011986000001007.900000000100081OCT2859119
86000001007.9600000000010082NOV301811986000001008.01
00000000001083DEC432411986000001008.3700000000000184
JAN543011987000000108.610000000000085FEB572911987000
000108.6501000000000086MAR530311987000000108.5800100
000000087APR356111987000000108.1800010000000088MAY3
05211987000000108.0200001000000089JUN328211987000000
108.100000100000090JUL374311987000000108.230000001000
0091AUG678211987000000108.8200000001000092SEP238111
987000000107.7800000000100093OCT209011987000000107.64
00000000010094NOV230111987000000107.7400000000001095
DEC355111987000000108.1700000000000196JAN51431198800
0000018.5510000000000097FEB596611988000000018.6901000
000000098MAR515511988000000018.5500100000000099APR2
66411988000000017.89000100000000100MAY22511198800000
0017.72000010000000101JUN248411988000000017.820000010
00000102JUL343011988000000018.14000000100000103AUG5
15611988000000018.55000000010000104SEP199311988000000
017.6000000001000105OCT172911988000000017.46000000000
100106NOV198211988000000017.59000000000010107

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