ssume that huma body temperatures are normally distributed with a mean 6.21°F and a standard deviation of 0.64 a. A hospital uses 100.6°F as the lowest temperature considered to be a fever. What percentage of normal and healthy persons would be considered to have a fever? Does this percentage suggest that a cutoff of 100.6°F is appropriate? b. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature be, if we want only 5.0% of healthy people to exceed it? (Such a result is a false positive, meaning that the test result is positive sick.) Click to view page 1 of the table. Click to view page 2 of the table.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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Related questions
Question
Assume that human body temperatures are normally distributed with a mean of 98.21°F and a standard deviation of 0.64°F.
a. A hospital uses 100.6°F as the lowest temperature considered to be a fever. What percentage of normal and healthy persons would be considered to have a fever? Does this percentage suggest that a cutoff of 100.6°F is appropriate?
b. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature be, if we want only 5.0% of healthy people to exceed it? (Such a result is a false positive, meaning that the test result is positive, but the subject is not really
sick.)
Click to view page 1 of the table. Click to view page 2 of the table.
a. The percentage of normal and healthy persons considered to have
(Round to two decimal places as needed.)
Does this percentage suggest that a cutoff of 100.6°F is appropriate?
O A. No, because there is a large probability that a normal and healthy person would be considered to have a fever.
O B. No, because there is a small probability that a normal and healthy person would be considered to have a fever.
O C. Yes, because there is a small probability that a normal and healthy person would be considered to have a fever.
O D. Yes, because there is a large probability that a normal and healthy person would be considered to have a fever.
b. The minimum temperature for requiring further medical tests should be °F if we want only 5.0% of healthy people to exceed it.
(Round to two decimal places as needed.)
Standard Normal Table (Page 2)
z
850*8888889=22199>22
0.0
0.3
0.4
0.6
0.7
1.1
1.3
1.4
1.6
1.7
.00
0
Standard Normal (z) Distribution: Cumulative Area from the LEFT
5000
5398
5793
6179
.6554
.6915
7257
7580
.7881
.8159
8413
.8643
.8849
.9032
.9192
.9332
9452
.9554
9641
.9713
.01
5040
.5438
5832
.6217
6591
.6950
.7291
7611
7910
.8186
8438
.8665
8869
.9049
9207
9345
9463
.9564
9649
.9719
.02
5080
5478
5871
6255
6628
.6985
7324
7642
7939
.8212
8461
8686
8888
.9066
9222
9357
9474
.9573
.9656
9726
.03
POSITIVE 2 Scores
5120
.5517
5910
.6293
6664
.7019
7357
.7673
7967
.8238
8485
.8708
.8907
.9082
.9236
.9370
9484
.9582
.9664
.9732
.04
fever is %.
.5160
5557
.5948
6331
.6700
.7054
7389
.7704
7995
.8264
.05
.6368
6736
.7088
7422
.7734
.7764
.8023
8051
.8289
.8315
.8508
.8531
.8554
.8729
8749 .8770
.8925
.8944
.8962
.9099
.9115
.9131
.9251
9265
9279
.9382
9394
.9406
.9495 * 9505
9515
.9591
.9599
.9608
.9671
.9686
.9738
.9750
.06
5199
5239
.5596
.5636
.5987 .6026 .6064
6406
.6443
.9678
9744
.07
.6772
.7123
7454
5279
.5675
.6808
7157
7486
7794
.8078
.8340
.8577
.8790
.8980
.9147
9292
.9418
9525
.9616
9693
9756
.08
5319
5714
6103
6480
6844
.7190
.7517
.7823
8106
.8365
8599
.8810
.8997
.9162
9306
.9429
.9535
.9625
.9699
.9761
.09
.5359
.5753
.6141
.6517
6879
.7224
7549
7852
.8133
.8389
.8621
.8830
9015
.9177
.9319
9441
9545
.9633
9706
.9767
C
Standard Normal Table (Page 1)
NEGATIVE z Scores
Z
-3.50
and
lower
-3.4
-3.3
-3.2
-3.1
-3.0
-2.9
-2.8
-2.7
-2.6
-2.5
-2.4
-2.3
-2.2
-2.1
-2.0
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
-1.3
-1.2
-1.1
-1.0
-0.9
-0.8
-0.7
-0.6
Standard Normal (z) Distribution: Cumulative Area from the LEFT
.00
.0001
.0003
.0005
.0007
.0010
.0013
.0019
.0026
.0035
.0047
.0062
.0082
.0107
.0139
.0179
.0228
.0287
.0359
0446
0548
0668
0808
0968
1151
1357
.1587
1841
2119
.2420
2743
.01
.02
2389
2709
.03
1762
2033
2327
2643
.04
.0003
0003
.0003
.0004 0004
0006
.0003
.0003 .0003
0005 .0005
.0004 .0004
0007
.0006 .0006 .0006 .0006
0009 .0009 .0009 0008 .0008 .0008
0013
.0013
.0012
0012 .0011
0011
.0018
0018
.0017
.0016
.0016
.0015
0025 0024 .0023 .0023 .0022 .0021
.0034
0033
0032
.0031 .0030 .0029
0045 0044 0043 0041 .0040 .0039
0060 .0059 .0057 .0055 .0054 0052
.0080 .0078 .0075 0073 .0071 .0069
0104 .0102 .0099 .0096 .0094 .0091
.0129
0125
.0122 .0119
0162 .0158 0154
0207
.0202
0262
0329
.0132
0136
0174
0222
0170
.0166
0212
0197
0217
0274
0268
0281
0351
.0256
.0322
0344
0436
0427
0537
0526
0655
.0643
0778
.0336
0418
0516
.0630
.0764
0934 .0918
1112
1093
0250
.0314
0392
0485
0594
0721
.0869
.1038
1230
1446
0409 .0401
0505 * .0495
0618 .0606
0749 .0735
0901 .0885
.1075 1056
1251
1469
1711
0793
0951
1131
1335
1314
1292
.1271
1562
1539
1515
1492
1814
1788
1736
1685
.1949
2090
2061
2005
1977
2358
.2296
2236
2546
2676
2611
Print
.05
2266
2578
.06
Done
.07
.0003
.0004
,0005
,0008
.0011
.0015
.0021
.0028
,0038
.0051
.0068
.0089
.0116
0150
.0192
.0244
.0307
0384
0
0475
.0582
0708
0853
.1020
1210
1423
.1660
1922
.2206
2514
08
0003
.0004
.0005
0007
0010
0014
.0020
0027
0037
* .0049
.0066
0087
0113
0146
.0188
.0239
.0301
.0375
.0465
.0571
0694
0838
1003
1190
1401
1635
1894
2177
2483
.09
.0002
.0003
,0005
.0007
.0010
.0014
.0019
.0026
0036
.0048
.0064
.0084
.0110
.0143
.0183
0233
.0294
0367
0455
.0559
.0681
0823
0985
1170
1379
1611
1867
2148
2451
- X
Transcribed Image Text:Assume that human body temperatures are normally distributed with a mean of 98.21°F and a standard deviation of 0.64°F. a. A hospital uses 100.6°F as the lowest temperature considered to be a fever. What percentage of normal and healthy persons would be considered to have a fever? Does this percentage suggest that a cutoff of 100.6°F is appropriate? b. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature be, if we want only 5.0% of healthy people to exceed it? (Such a result is a false positive, meaning that the test result is positive, but the subject is not really sick.) Click to view page 1 of the table. Click to view page 2 of the table. a. The percentage of normal and healthy persons considered to have (Round to two decimal places as needed.) Does this percentage suggest that a cutoff of 100.6°F is appropriate? O A. No, because there is a large probability that a normal and healthy person would be considered to have a fever. O B. No, because there is a small probability that a normal and healthy person would be considered to have a fever. O C. Yes, because there is a small probability that a normal and healthy person would be considered to have a fever. O D. Yes, because there is a large probability that a normal and healthy person would be considered to have a fever. b. The minimum temperature for requiring further medical tests should be °F if we want only 5.0% of healthy people to exceed it. (Round to two decimal places as needed.) Standard Normal Table (Page 2) z 850*8888889=22199>22 0.0 0.3 0.4 0.6 0.7 1.1 1.3 1.4 1.6 1.7 .00 0 Standard Normal (z) Distribution: Cumulative Area from the LEFT 5000 5398 5793 6179 .6554 .6915 7257 7580 .7881 .8159 8413 .8643 .8849 .9032 .9192 .9332 9452 .9554 9641 .9713 .01 5040 .5438 5832 .6217 6591 .6950 .7291 7611 7910 .8186 8438 .8665 8869 .9049 9207 9345 9463 .9564 9649 .9719 .02 5080 5478 5871 6255 6628 .6985 7324 7642 7939 .8212 8461 8686 8888 .9066 9222 9357 9474 .9573 .9656 9726 .03 POSITIVE 2 Scores 5120 .5517 5910 .6293 6664 .7019 7357 .7673 7967 .8238 8485 .8708 .8907 .9082 .9236 .9370 9484 .9582 .9664 .9732 .04 fever is %. .5160 5557 .5948 6331 .6700 .7054 7389 .7704 7995 .8264 .05 .6368 6736 .7088 7422 .7734 .7764 .8023 8051 .8289 .8315 .8508 .8531 .8554 .8729 8749 .8770 .8925 .8944 .8962 .9099 .9115 .9131 .9251 9265 9279 .9382 9394 .9406 .9495 * 9505 9515 .9591 .9599 .9608 .9671 .9686 .9738 .9750 .06 5199 5239 .5596 .5636 .5987 .6026 .6064 6406 .6443 .9678 9744 .07 .6772 .7123 7454 5279 .5675 .6808 7157 7486 7794 .8078 .8340 .8577 .8790 .8980 .9147 9292 .9418 9525 .9616 9693 9756 .08 5319 5714 6103 6480 6844 .7190 .7517 .7823 8106 .8365 8599 .8810 .8997 .9162 9306 .9429 .9535 .9625 .9699 .9761 .09 .5359 .5753 .6141 .6517 6879 .7224 7549 7852 .8133 .8389 .8621 .8830 9015 .9177 .9319 9441 9545 .9633 9706 .9767 C Standard Normal Table (Page 1) NEGATIVE z Scores Z -3.50 and lower -3.4 -3.3 -3.2 -3.1 -3.0 -2.9 -2.8 -2.7 -2.6 -2.5 -2.4 -2.3 -2.2 -2.1 -2.0 -1.9 -1.8 -1.7 -1.6 -1.5 -1.4 -1.3 -1.2 -1.1 -1.0 -0.9 -0.8 -0.7 -0.6 Standard Normal (z) Distribution: Cumulative Area from the LEFT .00 .0001 .0003 .0005 .0007 .0010 .0013 .0019 .0026 .0035 .0047 .0062 .0082 .0107 .0139 .0179 .0228 .0287 .0359 0446 0548 0668 0808 0968 1151 1357 .1587 1841 2119 .2420 2743 .01 .02 2389 2709 .03 1762 2033 2327 2643 .04 .0003 0003 .0003 .0004 0004 0006 .0003 .0003 .0003 0005 .0005 .0004 .0004 0007 .0006 .0006 .0006 .0006 0009 .0009 .0009 0008 .0008 .0008 0013 .0013 .0012 0012 .0011 0011 .0018 0018 .0017 .0016 .0016 .0015 0025 0024 .0023 .0023 .0022 .0021 .0034 0033 0032 .0031 .0030 .0029 0045 0044 0043 0041 .0040 .0039 0060 .0059 .0057 .0055 .0054 0052 .0080 .0078 .0075 0073 .0071 .0069 0104 .0102 .0099 .0096 .0094 .0091 .0129 0125 .0122 .0119 0162 .0158 0154 0207 .0202 0262 0329 .0132 0136 0174 0222 0170 .0166 0212 0197 0217 0274 0268 0281 0351 .0256 .0322 0344 0436 0427 0537 0526 0655 .0643 0778 .0336 0418 0516 .0630 .0764 0934 .0918 1112 1093 0250 .0314 0392 0485 0594 0721 .0869 .1038 1230 1446 0409 .0401 0505 * .0495 0618 .0606 0749 .0735 0901 .0885 .1075 1056 1251 1469 1711 0793 0951 1131 1335 1314 1292 .1271 1562 1539 1515 1492 1814 1788 1736 1685 .1949 2090 2061 2005 1977 2358 .2296 2236 2546 2676 2611 Print .05 2266 2578 .06 Done .07 .0003 .0004 ,0005 ,0008 .0011 .0015 .0021 .0028 ,0038 .0051 .0068 .0089 .0116 0150 .0192 .0244 .0307 0384 0 0475 .0582 0708 0853 .1020 1210 1423 .1660 1922 .2206 2514 08 0003 .0004 .0005 0007 0010 0014 .0020 0027 0037 * .0049 .0066 0087 0113 0146 .0188 .0239 .0301 .0375 .0465 .0571 0694 0838 1003 1190 1401 1635 1894 2177 2483 .09 .0002 .0003 ,0005 .0007 .0010 .0014 .0019 .0026 0036 .0048 .0064 .0084 .0110 .0143 .0183 0233 .0294 0367 0455 .0559 .0681 0823 0985 1170 1379 1611 1867 2148 2451 - X
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