The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in 8 randomly selected cities. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (c) below. 67.73 79.92 69.23 84.13 79.16 86.77 101.01 97.58 D E Click the icon to view the table of critical t-values. (a) Determine a point estimate for the population mean travel tax. A point estimate for the population mean travel tax is $ (Round to two decimal places as needed.) (b) Construct and interpret a 95% confidence interval for the mean tax paid for a three-day business trip. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) O A. One can be % confident that the mean travel tax for all cities is between $ and $. O B. There is a % probability that the mean travel tax for all cities between $ and $ O C. The travel tax is between $ and $ for % of all cities. O D. One can be % confident that the all cities have a travel tax between $ and $ (c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data? O A. The researcher could decrease the level of confidence. O B. The researcher could increase the sample mean. OC. The researcher could increase the level of confidence. O D. The researcher could decrease the sample standard deviation.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Related questions
Question

10

Area in
right tail
t-Distribution
Area in Right Tail
Degrees of
Freedom
0.25
0.20
0.15
0.10
0.05 0.025
0.02
0.01
0.005 0.0025
0.001 0.0005
1.000
0.816
0.765
0.741
0.727
1.376
1.061
0.978
0.941
0.920
1.963
1.386
1.250
1.190
1.156
3.078
1.886
1.638
1.533
1.476
6.314
2.920
2.353
2.132
2.015
12.706
4.303
3.182
2.776
2.571
15.894
4.849
3.482
2.999
2.757
31.821
6.965
4.541
3.747
3.365
63.657
9.925
5.841
4.604
4.032
127.321
14.089
7453
5.598
4.773
318.309 636.619
22.327
10.215
7173
5.893
1
31.599
12.924
3
8.610
6.869
5.959
5.408
5.041
4.781
4.587
0.906
0.896
0.718
0.711
0.706
0.703
0.700
1.134
1.119
1.108
1.100
1.093
1.440
1.415
1.397
1.383
1.372
1.943
1.895
1.860
1.833
1.812
2.447
2.365
2.306
2.262
2.228
2.612
2.517
2.449
2.398
2.359
3.143
2.998
2.896
2.821
2.764
3.707
3.499
3.355
3.250
3.169
4.317
4.029
3.833
3.690
3.581
5.208
4.785
4.501
4.297
4.144
6
7
0.889
0.883
0.879
9
10
11
12
13
14
15
0.697
0.695
0.694
0.692
0.691
0.876
0.873
0.870
0.868
0.866
1.088
1.083
1.079
1.076
1.074
1.363
1.356
1.350
1.345
1.341
1.796
1.782
1.771
1.761
1.753
2.201
2.179
2.160
2.145
2.131
2.328
2.303
2.282
2.264
2.249
2.718
2.681
2.650
2.624
2.602
3.106
3.055
3.012
2.977
2.947
3.497
3.428
3.372
3.326
3.286
4.025
3.930
3.852
3.787
3.733
4.437
4.318
4.221
4.140
4.073
16
17
18
19
20
0.690
0.689
0.688
0.688
0.687
0.865
0.863
0.862
0.861
0.860
1.071
1.069
1.067
1.066
1.064
1.337
1.333
1.330
1.328
1.325
1.746
1.740
1.734
1.729
1.725
2.120
2.110
2.101
2.093
2.086
2.235
2.224
2.214
2.205
2.197
2.583
2.567
2.552
2.539
2.528
2.921
2.898
2.878
2.861
2.845
3.252
3.222
3.197
3.174
3.153
3.686
3.646
3.610
3.579
3.552
4.015
3.965
3.922
3.883
3.850
21
22
23
24
25
0.686
0.686
0.685
0.685
0.684
0.859
0.858
0.858
0.857
0.856
1.721
1.717
1.714
1.711
1.708
2.080
2.074
2.069
2.064
2.060
2.518
2.508
2.500
2.492
2.485
2.831
2.819
2.807
2.797
2.787
3.527
3.505
3.485
3.467
3.450
1.063
1.061
1.060
1.059
1.058
1.323
1.321
1.319
1.318
1.316
2.189
2.183
2.177
2.172
2.167
3.135
3.119
3.104
3.091
3.078
3.819
3.792
3.768
3.745
3.725
26
27
28
29
30
0.684
0.684
0.683
0.683
0.683
0.856
0.855
0.855
0.854
0.854
1.058
1.057
1.056
1.055
1.055
1.315
1.314
1.313
1.311
1.310
1.706
1.703
1.701
1.699
1.697
2.056
2.052
2.048
2.045
2.042
2.162
2.158
2.154
2.150
2.147
2.479
2.473
2.467
2.462
2.457
2.779
2.771
2.763
2.756
2.750
3.067
3.057
3.047
3.038
3.030
3.435
3.421
3.408
3.396
3.385
3.707
3.690
3.674
3.659
3.646
31
32
33
34
0.682
0.682
0.682
0.682
0 682
0.853
0.853
0.853
0.852
1.054
1.054
1.053
1.052
1.309
1.309
1.308
1.307
1.696
1.694
1.692
1.691
1 600
2.040
2.037
2.035
2.032
2.144
2.141
2.138
2.136
2.453
2.449
2.445
2.441
2.744
2.738
2.733
2.728
3.022
3.015
3.008
3.002
3.375
3.365
3.356
3.348
3.633
3.622
3.611
3.601
2 501
25
0852
1052
1306
2020
2123
2438
2724
2006
3240
Transcribed Image Text:Area in right tail t-Distribution Area in Right Tail Degrees of Freedom 0.25 0.20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005 1.000 0.816 0.765 0.741 0.727 1.376 1.061 0.978 0.941 0.920 1.963 1.386 1.250 1.190 1.156 3.078 1.886 1.638 1.533 1.476 6.314 2.920 2.353 2.132 2.015 12.706 4.303 3.182 2.776 2.571 15.894 4.849 3.482 2.999 2.757 31.821 6.965 4.541 3.747 3.365 63.657 9.925 5.841 4.604 4.032 127.321 14.089 7453 5.598 4.773 318.309 636.619 22.327 10.215 7173 5.893 1 31.599 12.924 3 8.610 6.869 5.959 5.408 5.041 4.781 4.587 0.906 0.896 0.718 0.711 0.706 0.703 0.700 1.134 1.119 1.108 1.100 1.093 1.440 1.415 1.397 1.383 1.372 1.943 1.895 1.860 1.833 1.812 2.447 2.365 2.306 2.262 2.228 2.612 2.517 2.449 2.398 2.359 3.143 2.998 2.896 2.821 2.764 3.707 3.499 3.355 3.250 3.169 4.317 4.029 3.833 3.690 3.581 5.208 4.785 4.501 4.297 4.144 6 7 0.889 0.883 0.879 9 10 11 12 13 14 15 0.697 0.695 0.694 0.692 0.691 0.876 0.873 0.870 0.868 0.866 1.088 1.083 1.079 1.076 1.074 1.363 1.356 1.350 1.345 1.341 1.796 1.782 1.771 1.761 1.753 2.201 2.179 2.160 2.145 2.131 2.328 2.303 2.282 2.264 2.249 2.718 2.681 2.650 2.624 2.602 3.106 3.055 3.012 2.977 2.947 3.497 3.428 3.372 3.326 3.286 4.025 3.930 3.852 3.787 3.733 4.437 4.318 4.221 4.140 4.073 16 17 18 19 20 0.690 0.689 0.688 0.688 0.687 0.865 0.863 0.862 0.861 0.860 1.071 1.069 1.067 1.066 1.064 1.337 1.333 1.330 1.328 1.325 1.746 1.740 1.734 1.729 1.725 2.120 2.110 2.101 2.093 2.086 2.235 2.224 2.214 2.205 2.197 2.583 2.567 2.552 2.539 2.528 2.921 2.898 2.878 2.861 2.845 3.252 3.222 3.197 3.174 3.153 3.686 3.646 3.610 3.579 3.552 4.015 3.965 3.922 3.883 3.850 21 22 23 24 25 0.686 0.686 0.685 0.685 0.684 0.859 0.858 0.858 0.857 0.856 1.721 1.717 1.714 1.711 1.708 2.080 2.074 2.069 2.064 2.060 2.518 2.508 2.500 2.492 2.485 2.831 2.819 2.807 2.797 2.787 3.527 3.505 3.485 3.467 3.450 1.063 1.061 1.060 1.059 1.058 1.323 1.321 1.319 1.318 1.316 2.189 2.183 2.177 2.172 2.167 3.135 3.119 3.104 3.091 3.078 3.819 3.792 3.768 3.745 3.725 26 27 28 29 30 0.684 0.684 0.683 0.683 0.683 0.856 0.855 0.855 0.854 0.854 1.058 1.057 1.056 1.055 1.055 1.315 1.314 1.313 1.311 1.310 1.706 1.703 1.701 1.699 1.697 2.056 2.052 2.048 2.045 2.042 2.162 2.158 2.154 2.150 2.147 2.479 2.473 2.467 2.462 2.457 2.779 2.771 2.763 2.756 2.750 3.067 3.057 3.047 3.038 3.030 3.435 3.421 3.408 3.396 3.385 3.707 3.690 3.674 3.659 3.646 31 32 33 34 0.682 0.682 0.682 0.682 0 682 0.853 0.853 0.853 0.852 1.054 1.054 1.053 1.052 1.309 1.309 1.308 1.307 1.696 1.694 1.692 1.691 1 600 2.040 2.037 2.035 2.032 2.144 2.141 2.138 2.136 2.453 2.449 2.445 2.441 2.744 2.738 2.733 2.728 3.022 3.015 3.008 3.002 3.375 3.365 3.356 3.348 3.633 3.622 3.611 3.601 2 501 25 0852 1052 1306 2020 2123 2438 2724 2006 3240
The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in 8 randomly selected cities. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no
outliers. Complete parts (a) through (c) below.
67.73
79.92
69.23
84.13
79.16
86.77
101.01
97.58
Click the icon to view the table of critical t-values.
.....
(a) Determine a point estimate for the population mean travel tax.
A point estimate for the population mean travel tax is $
(Round to two decimal places as needed.)
(b) Construct and interpret a 95% confidence interval for the mean tax paid for a three-day business trip.
Select the correct choice below and fill in the answer boxes to complete your choice.
(Round to two decimal places as needed.)
O A. One can be
% confident that the mean travel tax for all cities is between $
and $
B. There is a
% probability that the mean travel tax for all cities is between $
and $
O C. The travel tax is between $
and $
for % of all cities.
O D. One can be
% confident that the all cities have a travel tax between $
and $
(c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data?
O A. The researcher could decrease the level of confidence.
B. The researcher could increase the sample mean.
C. The researcher could increase the level of confidence.
D. The researcher could decrease the sample standard deviation.
Transcribed Image Text:The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in 8 randomly selected cities. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (c) below. 67.73 79.92 69.23 84.13 79.16 86.77 101.01 97.58 Click the icon to view the table of critical t-values. ..... (a) Determine a point estimate for the population mean travel tax. A point estimate for the population mean travel tax is $ (Round to two decimal places as needed.) (b) Construct and interpret a 95% confidence interval for the mean tax paid for a three-day business trip. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) O A. One can be % confident that the mean travel tax for all cities is between $ and $ B. There is a % probability that the mean travel tax for all cities is between $ and $ O C. The travel tax is between $ and $ for % of all cities. O D. One can be % confident that the all cities have a travel tax between $ and $ (c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data? O A. The researcher could decrease the level of confidence. B. The researcher could increase the sample mean. C. The researcher could increase the level of confidence. D. The researcher could decrease the sample standard deviation.
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