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See the attached file.
For each exercise, determine the
a. rejection region
b. nonrejectoin region
c. critical value (s)
d. significance level
e. Identify the hypothesis test as two tailed, left tailed, or right tailed.

9.16 A graphical display of the decision criterion is: {see attachment}

9.18 A graphical display of the decision criterion is: {see attachment}

Preliminary data analyses indicate that applying the z-test is reasonable. Comment on the practical significance of all hypothesis tests whose results are statistically significant. [Only for exercise 9.36.]

9.36 - The mean length of imprisonment for motor-vehicle theft offenders in Australia is 16.7 months. One hundred randomly selected motor-vehicle theft offenders in Sydney, Australia, had a mean length of imprisonment of 17.8 months. At the 5% significance level, do the data provide sufficient evidence to conclude that the mean length of imprisonment for motor-vehicle theft offenders in Sydney differs from the national mean in Australia? Assume that the population standard deviation of the lengths of imprisonment for motor-vehicle theft offenders in Sydney is 6.0 months.

9.42 - In 2000, the average car in the US was driven 11.9 thousand miles, as reported by the US Federal Highway Administration in Highway Statistics. A random sample of 500 cars revealed a mean of 11.7 thousand miles driven for last year. Let m denote last year's mean distance driven for all cars.
a. Perform the hypothesis test
Ho m equal 11.9 thousand miles
Ha m does not equal 11.9 thousand miles
At the 5% significance level. Assume that all year's standard deviation of distances driven for all cars is 6.0 thousand miles.
b. Find the 95% confidence interval for m.
c. Does the value of 11.9 thousand miles, hypothesized for the mean m, in the null hypothesis of part (a) lie within your confidence interval from part (b).

9.46 - Explain how the P-value is obtained for one-sample z-test in case the hypothesis test is
a. left tailed
b. right tailed
c. two tailed.

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Solution Summary

For each exercise, the solution determines the:
a. rejection region
b. nonrejectoin region
c. critical value (s)
d. significance level
e. Identify the hypothesis test as two tailed, left tailed, or right tailed.

Solution Preview

See attachment please for the full solution.

For each exercise, determine the
a. rejection region
b. nonrejectoin region
c. critical value (s)
d. significance level
e. Identify the hypothesis test as two tailed, left tailed, or right tailed.

9.16 A graphical display of the decision criterion is:

Do not reject Ho Reject Ho

0.05
z
0 1.645

a. rejection region
z>1.645
b. nonrejectoin region

c. critical value (s)
z=1.645
d. significance level

e. Identify the hypothesis test as two tailed, left tailed, or right tailed.
right tailed

9.18 A graphical display of the decision criterion is:

Rejection Ho Do not reject Ho

0.01
Z
-2.33 0
a. rejection region
z<-2.33
b. nonrejectoin region

c. critical value (s)
z=-2.33
d. significance level

e. Identify the hypothesis test as two tailed, left tailed, or right tailed.
left tailed

Preliminary data ...

Solution provided by:
Education
  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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