What does it suggest about the use of 98.6 Fahrenheit as the mean of body temperature? a. This suggest that the mean of body temperature could be lower than 98.6 Fahrenheit.b. This suggest that the mean of body temperature could be very possible be 98.6 Fahrenheit.c. This suggest that the mean of the body temeprature could be higher than 98.6 Fahrenheit. aCritical value(negative)Left tail A data set includes 108 body temperatures of healthy adult humans having a mean of 98.2°F and a standard deviation of 0.64°F. Construct a 99% confidence intervalestimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6°F as the mean body temperature?Click here to view at distribution table.Click here to view page 1 of the standard normal distribution table.Click here to view page 2 of the standard normal distribution table.What is the confidence interval estimate of the population mean μ?°F<μ<°F(Round to three decimal places as needed.)C

The sample size is 108, sample mean is 98.2 and standard deviation is 0.64.

Answered: A data set includes 108 body…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 3GP

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What does it suggest about the use of 98.6 Fahrenheit as the mean of body temperature?

a. This suggest that the mean of body temperature could be lower than 98.6 Fahrenheit.

b. This suggest that the mean of body temperature could be very possible be 98.6 Fahrenheit.

c. This suggest that the mean of the body temeprature could be higher than 98.6 Fahrenheit.

a
Critical value
(negative)
Left tail
<i
Critical value
(negative)
Right tail
Two tails
Critical value
(positive)
a/2
Critical value
(positive)
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Distribution: Critical Values
0.005
0.01
63.657
9.975
5.841
4.804
4.032
3.707
3.499
3.356
3.250
3.169
3.106
3.055
3.012
2.977
2947
2.921
2.896
2.878
2861
245
2.831
2.819
2.807
2.797
2.787
2.779
2.771
2.763
2.766
2.750
2.744
2.738
2.733
2.728
2.724
2.719
2.715
2.712
2.708
2.704
2000
2.678
2.660
2.648
2.632
2.400
2.601
2.582
2.568
2.586
2581
2.578
3578
0.01
31.821
4.541
3.747
3.365
3.143
2.990
2.896
2.821
2.754
2718
2681
2.650
2.624
2.632
2.583
2.567
2.552
2.539
2.528
2.518
2.508
2.500
2.492
2.495
2.479
2.473
2.467
2.462
2.457
2.453
2.449
2.445
2.441
2.438
2.434
2.431
2.429
2.426
2.423
2412
2.403
2.374
2.368
2.364
2.345
2.336
2.330
2.328
Are One T
0.025
Area in Two Tals
0.05
12.706
3.182
2.776
2.571
2:365
2.306
2.262
2:228
2.201
2.179
2.160
2.145
2131
2.120
2.110
2.101
2.093
2006
2.080
2074
2.000
2064
2.000
2056
2.052
2048
2.045
2042
2040
2.037
2.035
2.032
2.000
2.029
2006
2.024
2.023
2.021
2014
2009
2.000
1.990
1.987
1.984
1.972
1.968
1.965
1.962
1901
0.05
0.10
6.314
2.920
2.353
2132
2015
1.095
1.860
1.812
1.796
1.771
1.761
1.746
1.740
1.734
1.729
1.725
1.721
1.717
1.714
1.711
1.706
1.703
1.701
1.699
1.694
1.662
1.690
1.686
1.684
1.679
1.676
1.671
1.664
1.662
1.660
1.663
1.650
1.648
1646
1.646
0.10
3.078
1.638
1.533
1.476
1.440
1.415
1.397
1.383
1.372
1.363
1.356
1.350
1.345
1.341
1.337
1.333
1.330
1.328
1.325
1.323
1.321
1.319
1.318
1.316
1.315
1.314
1.313
1.311
1.310
1.309
1.309
1.308
1.307
1.306
1.306
1.30
1.304
1.304
1.308
1.301
1.299
1.296
1.294
1.292
1.291
1.286
1.284
1.294
1.283
1.212
1289
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A data set includes 108 body temperatures of healthy adult humans having a mean of 98.2°F and a standard deviation of 0.64°F. Construct a 99% confidence interval
estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6°F as the mean body temperature?
Click here to view at distribution table.
Click here to view page 1 of the standard normal distribution table.
Click here to view page 2 of the standard normal distribution table.
What is the confidence interval estimate of the population mean μ?
°F<μ<°F
(Round to three decimal places as needed.)
C

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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