Data Set “Body Temperatures” includes body temperatures measured at 8am and 12 am on day 2 of a study. Calculate a 95% confidence interval for the difference the mean temperature at 8 am and 12 am? (Some intervals are blank on purpose)SEXSMOKEDAY 1 - 8AMDAY 1 - 12AMDAY 2 - 8AMDAY 2 - 12AMMY98.098.098.098.6MY97.097.697.4 MY98.698.897.898.6MN97.498.097.098.0MN98.298.897.098.0MY98.298.896.699.0MY98.297.697.098.4MY96.698.696.898.4MY97.498.696.698.4MN97.498.896.698.4MY98.298.096.298.6MY97.498.297.698.6MN97.898.098.698.8MY98.498.097.098.6MN97.697.097.497.0MN96.297.298.097.0MY98.098.297.698.8MY 97.297.6FN 97.097.7FY 98.098.8MY 97.098.0FY 96.498.0MN 96.198.3MY 98.098.5MY 98.196.897.3FY 98.298.298.7MY 98.597.897.4MY 98.598.298.9MY 99.097.898.6MN 98.099.099.5MY 97.097.497.5MY 97.397.497.3MY 97.397.597.6MY 98.197.898.2MY 97.999.6MN 97.897.898.7MY 99.098.399.4MN 97.698.098.2MY 97.4 98.0MY 98.0 98.6MY98.097.4 98.6MY98.898.0 97.2FY99.0 98.4MN 98.6 98.6MY 98.6 98.2FN98.098.4 98.0MY 97.0 97.8MY 98.0MN 98.4 98.4MY99.099.0 98.6MN 98.0 98.6MN 97.8MN 99.4 99.0MY 96.5MY 97.8 97.6MN 98.0MY 98.2 96.9MY 99.2 97.6MN 99.0 97.1FY 97.7 97.9MY 98.2 98.4MY 98.2 97.3MY 98.8 98.0MN 98.1 97.5MY 98.5 97.6FN 97.2 98.2MY 98.5 98.5MY 99.297.098.8MY 98.397.698.7MY 98.797.597.8FY 98.898.898.0MY 98.698.497.1MY 98.098.297.4MY 99.197.799.4MY 97.297.398.4MN 97.697.598.6MY 97.997.198.4FY 98.898.698.5MY 98.698.698.6FY 98.697.898.3FY 99.398.798.7MY 97.897.998.8FN98.898.797.899.1MN99.499.397.898.6MY98.897.897.697.9MN97.798.496.898.8MY99.097.796.098.0MN98.198.398.098.7MY98.797.797.098.5MN97.597.197.498.9MY98.998.497.698.4MY98.498.697.698.6MY97.297.496.297.1MY 96.297.9MN98.896.798.198.8MY97.396.997.198.7MY98.798.498.297.6FY98.998.296.498.2FY99.298.696.999.2MN 97.0 97.8MY 97.4 98.0MN 98.4 98.4MN 97.4 97.8MY 96.8 98.4MY 98.2 97.4MN 97.4 98.0MN 98.0 97.0

Name: Data Set “Body Temperatures” includes body temperatures measured at 8a
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Description: Data Set “Body Temperatures” includes body temperatures measured at 8am and 12 am on day 2 of a study. Calculate a 95% confidence interval for the difference the mean temperature at 8 am and 12 am? (Some intervals are blank on purpose)SEXSMOKEDAY 1 -

Answered: Data Set “Body Temperatures” includes…

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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Data Set “Body Temperatures” includes body temperatures measured at 8am and 12 am on day 2 of a study. Calculate a 95% confidence interval for the difference the mean temperature at 8 am and 12 am?

(Some intervals are blank on purpose)

SEX	SMOKE	DAY 1 - 8AM	DAY 1 - 12AM	DAY 2 - 8AM	DAY 2 - 12AM
M	Y	98.0	98.0	98.0	98.6
M	Y	97.0	97.6	97.4
M	Y	98.6	98.8	97.8	98.6
M	N	97.4	98.0	97.0	98.0
M	N	98.2	98.8	97.0	98.0
M	Y	98.2	98.8	96.6	99.0
M	Y	98.2	97.6	97.0	98.4
M	Y	96.6	98.6	96.8	98.4
M	Y	97.4	98.6	96.6	98.4
M	N	97.4	98.8	96.6	98.4
M	Y	98.2	98.0	96.2	98.6
M	Y	97.4	98.2	97.6	98.6
M	N	97.8	98.0	98.6	98.8
M	Y	98.4	98.0	97.0	98.6
M	N	97.6	97.0	97.4	97.0
M	N	96.2	97.2	98.0	97.0
M	Y	98.0	98.2	97.6	98.8
M	Y			97.2	97.6
F	N			97.0	97.7
F	Y			98.0	98.8
M	Y			97.0	98.0
F	Y			96.4	98.0
M	N			96.1	98.3
M	Y			98.0	98.5
M	Y		98.1	96.8	97.3
F	Y		98.2	98.2	98.7
M	Y		98.5	97.8	97.4
M	Y		98.5	98.2	98.9
M	Y		99.0	97.8	98.6
M	N		98.0	99.0	99.5
M	Y		97.0	97.4	97.5
M	Y		97.3	97.4	97.3
M	Y		97.3	97.5	97.6
M	Y		98.1	97.8	98.2
M	Y			97.9	99.6
M	N		97.8	97.8	98.7
M	Y		99.0	98.3	99.4
M	N		97.6	98.0	98.2
M	Y		97.4		98.0
M	Y		98.0		98.6
M	Y	98.0	97.4		98.6
M	Y	98.8	98.0		97.2
F	Y	99.0			98.4
M	N		98.6		98.6
M	Y		98.6		98.2
F	N	98.0	98.4		98.0
M	Y		97.0		97.8
M	Y				98.0
M	N		98.4		98.4
M	Y	99.0	99.0		98.6
M	N		98.0		98.6
M	N				97.8
M	N		99.4		99.0
M	Y				96.5
M	Y		97.8		97.6
M	N				98.0
M	Y		98.2		96.9
M	Y		99.2		97.6
M	N		99.0		97.1
F	Y		97.7		97.9
M	Y		98.2		98.4
M	Y		98.2		97.3
M	Y		98.8		98.0
M	N		98.1		97.5
M	Y		98.5		97.6
F	N		97.2		98.2
M	Y		98.5		98.5
M	Y		99.2	97.0	98.8
M	Y		98.3	97.6	98.7
M	Y		98.7	97.5	97.8
F	Y		98.8	98.8	98.0
M	Y		98.6	98.4	97.1
M	Y		98.0	98.2	97.4
M	Y		99.1	97.7	99.4
M	Y		97.2	97.3	98.4
M	N		97.6	97.5	98.6
M	Y		97.9	97.1	98.4
F	Y		98.8	98.6	98.5
M	Y		98.6	98.6	98.6
F	Y		98.6	97.8	98.3
F	Y		99.3	98.7	98.7
M	Y		97.8	97.9	98.8
F	N	98.8	98.7	97.8	99.1
M	N	99.4	99.3	97.8	98.6
M	Y	98.8	97.8	97.6	97.9
M	N	97.7	98.4	96.8	98.8
M	Y	99.0	97.7	96.0	98.0
M	N	98.1	98.3	98.0	98.7
M	Y	98.7	97.7	97.0	98.5
M	N	97.5	97.1	97.4	98.9
M	Y	98.9	98.4	97.6	98.4
M	Y	98.4	98.6	97.6	98.6
M	Y	97.2	97.4	96.2	97.1
M	Y			96.2	97.9
M	N	98.8	96.7	98.1	98.8
M	Y	97.3	96.9	97.1	98.7
M	Y	98.7	98.4	98.2	97.6
F	Y	98.9	98.2	96.4	98.2
F	Y	99.2	98.6	96.9	99.2
M	N		97.0		97.8
M	Y		97.4		98.0
M	N		98.4		98.4
M	N		97.4		97.8
M	Y		96.8		98.4
M	Y		98.2		97.4
M	N		97.4		98.0
M	N		98.0		97.0

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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