John, a statistics student, collected a random sample of monthly rental charges for two-bedroom apartments in Marion and surronding counties. The following show the data John obtained in his random sample. 1 a b 2 C d a b 5 C d b C d 680 1465 835 1515 700 1210 1190 1245 1355 1220 a b 1375 1360 990 С d 1180 495 1335 Question 1-6 are based on John's sample data. d The sample variance is, 46,897.30 45,093.56 с 43,359.19 d 41,691.53 1,146.33 1,102.24 1130 1095 1040 1160 825 41,691.53 41,365.81 1010 1195 1070 1110 995 1025 1360 1265 850 840 1360 3. The estimated variance of the sample mean is, a 338.74 325.72 1145 1205 1015 1355 1310 1030 1330 980 sample data. 441 401 1185 1560 1105 1335 1145 365 332 945 1295 1460 1380 1110 1080 1465 970 1180 1225 1405 1270 1335 1035 1055 1520 1360 895 1235 The point estimate of the mean monthly rental charge is, 1,239.87 1,192.18 1105 1380 1380 1250 1000 1200 1260 910 1000 1055 1115 1420 1260 1655 1130 1120 The 95% interval estimate for the population mean rental charge is, 1,110.62 1,182.04 1,100.41 1,192.24 1,090.21 1,202.45 1,080.00 1,212.65 1415 1455 1005 1055 1100 1450 685 1360 1160 990 965 745 1090 1200 1065 1340 845 1135 1120 905 870 1355 990 1320 1060 1270 1055 1090 The margin of error for a 95% interval estimate for the population mean rental charge is, 47.23 41.07 35.71 31.05 980 865 1410 1185 6 In the previous question, to obtain a margin of error of +$20 for a 95% interval estimate the minimum sample size is For planning value, use the standard deviation from John's 1175 1050 1070 920 1240 900 1410 1075 1200 1060 1010 1150 1135 1040 1260 860
John, a statistics student, collected a random sample of monthly rental charges for two-bedroom apartments in Marion and surronding counties. The following show the data John obtained in his random sample. 1 a b 2 C d a b 5 C d b C d 680 1465 835 1515 700 1210 1190 1245 1355 1220 a b 1375 1360 990 С d 1180 495 1335 Question 1-6 are based on John's sample data. d The sample variance is, 46,897.30 45,093.56 с 43,359.19 d 41,691.53 1,146.33 1,102.24 1130 1095 1040 1160 825 41,691.53 41,365.81 1010 1195 1070 1110 995 1025 1360 1265 850 840 1360 3. The estimated variance of the sample mean is, a 338.74 325.72 1145 1205 1015 1355 1310 1030 1330 980 sample data. 441 401 1185 1560 1105 1335 1145 365 332 945 1295 1460 1380 1110 1080 1465 970 1180 1225 1405 1270 1335 1035 1055 1520 1360 895 1235 The point estimate of the mean monthly rental charge is, 1,239.87 1,192.18 1105 1380 1380 1250 1000 1200 1260 910 1000 1055 1115 1420 1260 1655 1130 1120 The 95% interval estimate for the population mean rental charge is, 1,110.62 1,182.04 1,100.41 1,192.24 1,090.21 1,202.45 1,080.00 1,212.65 1415 1455 1005 1055 1100 1450 685 1360 1160 990 965 745 1090 1200 1065 1340 845 1135 1120 905 870 1355 990 1320 1060 1270 1055 1090 The margin of error for a 95% interval estimate for the population mean rental charge is, 47.23 41.07 35.71 31.05 980 865 1410 1185 6 In the previous question, to obtain a margin of error of +$20 for a 95% interval estimate the minimum sample size is For planning value, use the standard deviation from John's 1175 1050 1070 920 1240 900 1410 1075 1200 1060 1010 1150 1135 1040 1260 860
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:E270 T5 Armour, Tori.xlsx
John, a statistics student, collected a random sample of monthly rental charges for two-bedroom
apartments in Marion and surronding counties. The following show the data John obtained in his
random sample.
1
2
3
4
a
b
6
C
d
a
b
d
b
d
b
Question 1-6 are based on John's sample data.
d
8:17 1
С
d
Done
d
680
1465
835
1515
700
1210
1190
1245
1355
1220
1375
1360
990
1180
495
1335
1,192.18
1,146.33
1,102.24
1130
1095
1040
1160
825
1010
43,359.19
41,691.53
1195
1070
1110
995
1025
1360
1265
850
840
1360
The sample variance is,
46,897.30
45,093.56
41,691.53
41,365.81
35.71
31.05
1145
1205
1015
1355
1310
1030
1330
980
1185
1560
1105
1335
The point estimate of the mean monthly rental charge is,
1,239.87
1145
945
1295
1460
The estimated variance of the sample mean is,
338.74
325.72
1380
1110
1080
1465
970
1180
1225
1405
1270
1335
1035
1055
1520
1360
895
1235
5 The 95% interval estimate for the population mean rental charge is,
a 1,110.62 1,182.04
b
1,100.41 1,192.24
1,090.21 1,202.45
1,080.00 1,212.65
14.4
20.1
18
7.5
13.1
1105
1380
1380
1250
1000
1200
1260
910
1000
1055
1115
1420
1260
1655
1130
1120
10.8
20.9
13.5
17.9
11.1
13
13.2
10.1
The margin of error for a 95% interval estimate for the population mean rental charge is,
47.23
41.07
1415
1455
14.7
19.7
19.3
12.9
14.7
1005
1055
1100
1450
685
17.4
13.1
12.8
1360
1160
990
965
7
In interval estimation of a population parameter, increasing the sample size would
a reduce the margin of sampling error, increasing the confidence level.
breduce the margin of sampling error, diminishing the error probability.
C
e increase the margin of sampling error, making the interval estimate more precise.
reduce the margin of sampling error, making the interval estimate more precise.
d
745
1090
1200
1065
1340
8
In interval estimation of a population parameter, increasing a would:
a reduce the margin of sampling error, and reduce the error probability.
breduce the margin of sampling error, and make the interval estimate less precise.
e reduce the margin of sampling error, and reduce the confidence level.
d increase the margin of sampling error, and make the interval estimate more precise.
18.5
9.6
15.8
11.1
20.2
10
21.2
9.9
In the previous question, to obtain a margin of error of +$20 for a 95% interval estimate the
minimum sample size is
For planning value, use the standard deviation from John's
sample data.
441
401
365
332
Next TWO questions are related to the following sample data:
Jane, a statistics student, wants to build a confidence interval with a 95% confidence level for the
mean commuting distance of all IUPUI students. She selects a random sample of students and
obtains the following commuting distance data. The data show the distance from the student
residence to the campus in miles).
8.6
10.2
23
10.7
8.3
4,7
9.1
22.6
8.2
14
12.3
845
1135
1120
905
870
1355
990
1320
1060
1270
1055
1090
980
865
1410
1185
23.3
11.1
19.8
10.4
17.4
10.6
8.3
24.1
1175
1050
1070
920
1240
900
14
18.1
16.2
12.7
6.9
6.7
11.3
15.8
1410
1075
1200
1060
1010
1150
1135
1040
1260
860
7.3
4.1
12.4
12.8
10.3
9.4
9.3
16.1
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