(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? Yes No What sampling distribution will you use? uniform Student's t chi-square What are the degrees of freedom? normal binomial (c) Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.) P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010< P-value < 0.025 0.005 < P-value < 0.010 P-value < 0.005 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence? Since the P-value > x, we fail to reject the null hypothesis. Since the P-value > x, we reject the null hypothesis. Since the P-values x, we reject the null hypothesis. Since the P-values x, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. At the 1% level of significance, the evidence is sufficient to conclude that the average daily January temperature does not follow a normal distribution. At the 1% level of significance, the evidence is insufficient to conclude that the average daily January temperature does not follow a normal distribution.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least
three decimal places. Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
Yes
No
What sampling distribution will you use?
uniform Student's t chi-square normal
What are the degrees of freedom?
binomial
(c) Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.)
P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010< P-value < 0.025
0.005 < P-value < 0.010 P-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of
independence?
Since the P-value > x, we fail to reject the null hypothesis. Since the P-value > x, we reject the null
hypothesis. Since the P-values x, we reject the null hypothesis. Since the P-values x, we fail
to reject the null hypothesis.
(e) Interpret your conclusion in the context of the application.
At the 1% level of significance, the evidence is sufficient to conclude that the average daily January
temperature does not follow a normal distribution. At the 1% level of significance, the evidence is
insufficient to conclude that the average daily January temperature does not follow a normal
distribution.
L
Transcribed Image Text:(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? Yes No What sampling distribution will you use? uniform Student's t chi-square normal What are the degrees of freedom? binomial (c) Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.) P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010< P-value < 0.025 0.005 < P-value < 0.010 P-value < 0.005 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence? Since the P-value > x, we fail to reject the null hypothesis. Since the P-value > x, we reject the null hypothesis. Since the P-values x, we reject the null hypothesis. Since the P-values x, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. At the 1% level of significance, the evidence is sufficient to conclude that the average daily January temperature does not follow a normal distribution. At the 1% level of significance, the evidence is insufficient to conclude that the average daily January temperature does not follow a normal distribution. L
8
Let x be a random variable that represents the average daily temperature (in degrees Fahrenheit) in
January for a town in Hawaii. The x variable has a mean of approximately 68°F and standard deviation
o of approximately 4°F. A 20-year study (620 January days) gave the entries in the rightmost column of
the following table.
Region under Normal
Curve
LL -30 ≤x≤μ-2
μ-20 ≤X<μL -σ
Lo ≤X<f
μ ≤X<u+o
μ+σ ≤X<μ + 20
μ +20° ≤x<μ +3
σ
II
X°F
56 ≤ x<
60
60 ≤ x<
64
64 ≤ x<
68
68 ≤ x<
72
72 ≤ x<
76
76 ≤ x<
80
III
Expected % from Normal
Curve
2.35%
13.5%
34%
34%
13.5%
2.35%
IV
Observed Number of Days in
20 Years
16
84
219
215
77
Transcribed Image Text:8 Let x be a random variable that represents the average daily temperature (in degrees Fahrenheit) in January for a town in Hawaii. The x variable has a mean of approximately 68°F and standard deviation o of approximately 4°F. A 20-year study (620 January days) gave the entries in the rightmost column of the following table. Region under Normal Curve LL -30 ≤x≤μ-2 μ-20 ≤X<μL -σ Lo ≤X<f μ ≤X<u+o μ+σ ≤X<μ + 20 μ +20° ≤x<μ +3 σ II X°F 56 ≤ x< 60 60 ≤ x< 64 64 ≤ x< 68 68 ≤ x< 72 72 ≤ x< 76 76 ≤ x< 80 III Expected % from Normal Curve 2.35% 13.5% 34% 34% 13.5% 2.35% IV Observed Number of Days in 20 Years 16 84 219 215 77
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