3. Use the following measured amounts of carbon monoxide in Los Angeles and San Francisco. Note that corresponding entries are from the same day, so they data are matched by the days they represent. For the population differences, use a 0.05 significance level to test the claim that the differences have a mean equal to 0. Carbon Monoxide in Los Angeles (ppm) 1.41 1.23 1.21 1.02 0.86 1.17 1.31 1.29 1.37 1.53 1.30 1.54 1.30 0.89 1.16 0.96 1.60 1.30 F 1.13 0.67 0.88 0.84 0.67 0.82 Carbon Monoxide in San Francisco (ppm) 0.53 0.56 0.71 0.60 0.65 0.72 0.95 0.94 0.63 0.41 0.46 0.48 0.54 0.51 0.60 0.65 0.51 0.78 0.66 0.57 0.72 0.73 0.92 1.14 1.10 1.19 0.80 0.74 0.84 0.92 0.54 0.66 0.60 0.63 0.77 0.72 0.59 0.61 0.70 0.66

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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For full credit you must include:
Null and alternative hypothesis
Label your claim
P-Value, critical value, and test statistic
A sketch of the appropriate distribution with the critical value labeled, the critical region shaded
and the test statistic clearly indicated.
A conclusion statement which explains whether or not you rejected the null hypothesis and an
explanation of what this tells you regarding the claim.
Transcribed Image Text:● ● ● ● For full credit you must include: Null and alternative hypothesis Label your claim P-Value, critical value, and test statistic A sketch of the appropriate distribution with the critical value labeled, the critical region shaded and the test statistic clearly indicated. A conclusion statement which explains whether or not you rejected the null hypothesis and an explanation of what this tells you regarding the claim.
3. Use the following measured amounts of carbon monoxide in Los Angeles and San Francisco. Note
that corresponding entries are from the same day, so they data are matched by the days they
represent. For the population differences, use a 0.05 significance level to test the claim that the
differences have a mean equal to 0.
Carbon Monoxide in Los Angeles (ppm)
1.41 1.23 1.21 1.02 0.86 1.17 1.31 1.29 1.37 1.13 0.67 0.88 0.92 1.14 1.10 1.19
1.53 1.30 1.54 1.30 0.89 1.16 0.96 1.60 1.30 0.84 0.67 0.82 0.80 0.74 0.84 0.92
Carbon Monoxide in San Francisco (ppm)
0.53 0.56 0.71 0.60 0.65 0.72 0.95
0.48 0.54 0.51 0.60 0.65 0.51 0.78
Null Hypothesis: meand = o
Alternative Hypothesis: meand > 0
Test Statistic
z = 8.7319364
z = 8.732
P-Value = <0.0001
Critical Value
0.33078477 < meand< 0.58921523
0.94 0.63 0.41 0.46 0.54 0.66 0.60 0.63 0.70
0.66 0.57 0.72 0.73 0.77 0.72 0.59 0.61 0.66
I
Transcribed Image Text:3. Use the following measured amounts of carbon monoxide in Los Angeles and San Francisco. Note that corresponding entries are from the same day, so they data are matched by the days they represent. For the population differences, use a 0.05 significance level to test the claim that the differences have a mean equal to 0. Carbon Monoxide in Los Angeles (ppm) 1.41 1.23 1.21 1.02 0.86 1.17 1.31 1.29 1.37 1.13 0.67 0.88 0.92 1.14 1.10 1.19 1.53 1.30 1.54 1.30 0.89 1.16 0.96 1.60 1.30 0.84 0.67 0.82 0.80 0.74 0.84 0.92 Carbon Monoxide in San Francisco (ppm) 0.53 0.56 0.71 0.60 0.65 0.72 0.95 0.48 0.54 0.51 0.60 0.65 0.51 0.78 Null Hypothesis: meand = o Alternative Hypothesis: meand > 0 Test Statistic z = 8.7319364 z = 8.732 P-Value = <0.0001 Critical Value 0.33078477 < meand< 0.58921523 0.94 0.63 0.41 0.46 0.54 0.66 0.60 0.63 0.70 0.66 0.57 0.72 0.73 0.77 0.72 0.59 0.61 0.66 I
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