Question

2 The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a)
Test the claim about the difference between two population means and at the level of significance a Assume the samples are ra
Use technology to help you test the claim about the population mean, at the given level of significance, a, using the given s
0 0
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Answer #1

Question 1:

a)

Overtime hours Employees Probability
0 8 8/196 = 0.041
1 13 13/196 = 0.066
2 29 29/196 = 0.148
3 57 57/196 = 0.291
4 43 43/196 = 0.219
5 28 28/196 = 0.143
6 18 18/196 = 0.092
Total 196 1

b)

ANSWER: D

. Histogram 0.35 0.30 0.25 0.20 Probability 0.15 0.10 0.05 0.00 0 1 2 3 4 5 6 Axis Title

ANSWER: A

A. approximately symmetric (but not uniform)

Question 2:

\alpha = 0.01

Hypothesis:

Ho: \mu_{1} = \mu_{2}

Ha: \mu_{1} \neq \mu_{2}

Test statistic:

Z = \frac{(\bar{X1} - \bar{X2})}{\sqrt{\frac{\sigma 1^2}{n1} + \frac{\sigma 2^2}{n2}}} = \frac{(17 - 15)}{\sqrt{\frac{3.6^2}{30} + \frac{1.4^2}{28}}} =2.82

P-value = 0.0048 ....................Using Standrad Normal table

Conclusion:

P-value < \alpha , i.e. 0.0048 < 0.01, That is Reject Ho at 1% level of significance.

ANSWER: C

C. Reject Ho, There is enough evidence at the 1% level of significance to reject the claim.

Question 3:

Hypothesis:

ANSWER: F

Ho: \mu \leq 1220

Ha: \mu > 1220

Test statistic:

Z = \frac{\bar{X} - \mu }{\sigma /\sqrt{n}} = \frac{1237 - 1220}{212.52 /\sqrt{200}} = 1.13

P-value = 0.129 .................Using standard Normal table

Conclusion:

P-value > \alpha , i.e. 0.129 > 0.03, That is Fail to Reject Ho at 3% level of significance.

Reject Ho, At the 3% significance level, there is enough evidence to Reject the claim.

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