Winter 2017 ME 364 Final Exam 2. write the word or phrase that best completes ea
ID: 3223060 • Letter: W
Question
Winter 2017 ME 364 Final Exam 2. write the word or phrase that best completes each statement to answer the question. Assume simple random sample has been selected from a normally d population and test the given claim. Identity the null and alternative hypotheses, test statistic, critical value(s) or P-value (or range of as propriate, and state the final conclusion that addresses the original claim. company gives job applicants a test of programming ability and the mean for that test has been the past. Twenty-five job applicants are randomly s and 12, 183 from one large university and they produce a mean and standard deviation of from a score respectively. level significance to test the claim that this sample comes population Use a of P-value method of testing hypotheses with a mean score greater than 160. Use theExplanation / Answer
Answer to part I)
Claim: Mean is greater than 160
.
Hypothesis:
Null hypothesis: Mean score is 160
Alternate hypothesis: Mean score > 160 ......[thus it is a right tailed test]
.
Population Mean (M) = 160
Sample size (n) = 25
Sample mean (x bar) = 183
Standard deviation (s) = 12
alpha = 0.05
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Test statistic used is t , because the population standard deviation is not provided, only sample standard deviation is provided
t = (183 - 160) /(12/25)
t = 9.583
df = 25-1 = 24
Thus the P value is :0.0000
.
Conclusion: Since the P value is 0.000 , which is less than the alpha value 0.05 , we reject the null and conclude that the sample is drawn from a population with mean greater than 160
Answer to part II)
Claim: The true average differs from 5.5
.
hypothesis:
Null hypothesis: The true population mean is 5.5
Alternate hypothesis: The true population mean is different from 5.5.......[it is a two tailed test]
.
Population mean (M) = 5.5
Sample Proportion xbar = 5.25
Alpha = 0.01
Sample size (n) = 16
Standard deviation (SD) = 0.3
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Z = (5.25 - 5.5) / (0.3/16)
Z = -3.33
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P value for Z = -3.33 ,is =2 * 0.00043 = 0.00086
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Since the P value 0.00086 < 0.01, we reject the null and conclude that the Mean is different from 5.5
.
Conclusion:
Thus we conclude that there is sufficient evidence to support the claim that the true average percentage differs from 5.5
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