The Gidget Company makes widgets. If the production process is working properly, it turns out that the widgets are normally distributed with a mean length of at least 2.6 feet. Larger widgets can be used or altered but shorter widgets mustE scrapped. You select a sample of 25 widgets, and the mean length is 2.46 feet and the sample standard deviation is 0.16 foot. Do you need to adjust the production equipment? Complete parts (a) through (d). Click here to view page 1 of the critical values for the t Distribution. Click here to view page 2 of the critical values for the t Distribution, Since tne test statistic is iess tnan tne criticai vaiue, reject the nuii nypotnesis ana conciuoe tnat tnere is suTIcieht eviaence tnat you neea to aajust tne proauction equipment. b. If you test the null hypothesis at the 0.05 level significance, what decision do you make using the p-value approach to hypothesis testing? What is the p-value for this test? 0.0001 (Round to four decimal places as needed.) What is the conclusion for this test? Since the p-value is the null hypothesis and conclude that there is sufficient evidence that you need to adjust the production equipment. less than a, reject c. Interpret the meaning of the p-value in this problem. Choose the correct answer below. A. The p-value is the probability that the sample of widgets have a mean length of 2.46 feet or less, given that the the mean length is actually 2.6 feet. O B. The p-value is the probability that the sample of widgets have a mean length of 2.6 feet or greater. OC. The p-value is the probability that the sample of widgets have a mean length of 2.6 feet or greater, given that the the mean length is actually 2.46 feet. O D. The p-value is the probability that the sample of widgets have a mean length of 2.46 feet or less. d. Compare your conclusions in (a) and (b). Choose the correct answer below. O A. Using the critical value approach the null hypothesis was not rejected and using the p-value approach the null hypothesis was not rejected. The critical value approach and the p-value approach are two different methods of finding the same answer. O B. Using the critical value approach, the null hypothesis was not rejected and using the p-value approach, the null hypothesis was rejected. The critical value approach and the p-value approach yeild opposite results. O C. Using the critical value approach, the null hypothesis was rejected and using the p-value approach, the null hypothesis was not rejected. The critical value approach and the p-value approach yield opposite results. O D. Using the critical value approach the null hypothesis was rejected and using the p-value approach the null hypothesis was rejected. The critical value approach and the p-value approach are two different methods of finding the same answer.
The Gidget Company makes widgets. If the production process is working properly, it turns out that the widgets are normally distributed with a mean length of at least 2.6 feet. Larger widgets can be used or altered but shorter widgets mustE scrapped. You select a sample of 25 widgets, and the mean length is 2.46 feet and the sample standard deviation is 0.16 foot. Do you need to adjust the production equipment? Complete parts (a) through (d). Click here to view page 1 of the critical values for the t Distribution. Click here to view page 2 of the critical values for the t Distribution, Since tne test statistic is iess tnan tne criticai vaiue, reject the nuii nypotnesis ana conciuoe tnat tnere is suTIcieht eviaence tnat you neea to aajust tne proauction equipment. b. If you test the null hypothesis at the 0.05 level significance, what decision do you make using the p-value approach to hypothesis testing? What is the p-value for this test? 0.0001 (Round to four decimal places as needed.) What is the conclusion for this test? Since the p-value is the null hypothesis and conclude that there is sufficient evidence that you need to adjust the production equipment. less than a, reject c. Interpret the meaning of the p-value in this problem. Choose the correct answer below. A. The p-value is the probability that the sample of widgets have a mean length of 2.46 feet or less, given that the the mean length is actually 2.6 feet. O B. The p-value is the probability that the sample of widgets have a mean length of 2.6 feet or greater. OC. The p-value is the probability that the sample of widgets have a mean length of 2.6 feet or greater, given that the the mean length is actually 2.46 feet. O D. The p-value is the probability that the sample of widgets have a mean length of 2.46 feet or less. d. Compare your conclusions in (a) and (b). Choose the correct answer below. O A. Using the critical value approach the null hypothesis was not rejected and using the p-value approach the null hypothesis was not rejected. The critical value approach and the p-value approach are two different methods of finding the same answer. O B. Using the critical value approach, the null hypothesis was not rejected and using the p-value approach, the null hypothesis was rejected. The critical value approach and the p-value approach yeild opposite results. O C. Using the critical value approach, the null hypothesis was rejected and using the p-value approach, the null hypothesis was not rejected. The critical value approach and the p-value approach yield opposite results. O D. Using the critical value approach the null hypothesis was rejected and using the p-value approach the null hypothesis was rejected. The critical value approach and the p-value approach are two different methods of finding the same answer.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
please answer part d

Transcribed Image Text:The Gidget Company makes widgets. If the production process is working properly, it turns out that the widgets are normally distributed with a mean length of at least 2.6 feet. Larger widgets can be used or altered but shorter widgets must be
scrapped. You select a sample of 25 widgets, and the mean length is 2.46 feet and the sample standard deviation is 0.16 foot. Do you need to adjust the production equipment? Complete parts (a) through (d).
Click here to view page 1 of the critical values for the t Distribution.
Click here to view page 2 of the critical values for the t Distribution.
a. If you test the null hypothesis at the 0.05 level
significance, what decision do you make using the critical value approach to hypothesis testing?
What are the null and alternative hypotheses for this test?
A. Ho: 22.6
O B. Ho: us2.6
OC. Ho: u22.46
H,:µ<2.6
H,: u>2.6
H,: u<2.46
OD. Ho: >2.6
O E. Ho: us246
H: u>2.46
OF. Ho: H<2.6
H,: µs2.6
H: με 26
What is the test statistic for this test?
- 4.3750 (Round to four decimal places as needed.)
What is the critical value for this test?
- 1.7109 (Round to four decimal places as needed.)
What is the conclusion for this test?
Since the test statistic is
less
than the critical value,
reject
the null hypothesis and conclude that there is sufficient evidence that you need to adjust the production equipment.
b. If you test the null hypothesis at the 0.05 level of significance, what decision do you make using the p-value approach to hypothesis testing?
What is the p-value for this test?
0.0001 (Round to four decimal places as needed.)
What is the conclusion for this test?
Since the n-value is
less
than a
reiect
the null hvnothesis and conclude that there is sufficient evidence that vou need to adiust the production equinment.

Transcribed Image Text:The Gidget Company makes widgets. If the production process is working properly, it turns out that the widgets are normally distributed with a mean length of at least 2.6 feet. Larger widgets can be used or altered but shorter widgets must b
scrapped. You select a sample of 25 widgets, and the mean length is 2.46 feet and the sample standard deviation is 0.16 foot. Do you need
Click here to view page 1 of the critical values for the t Distribution.
Click here to view page 2 of the critical values for the t Distribution,
adjust the production equipment? Complete parts (a) through (d).
Since tne test statistic is iess tnan tne criticai vaiue,
reject
tne nuii nypotnesis ana conciuae tnat tnere is SUTICient eviaence tnat you neea to aajust ine proauction equipment.
b. If you test the null hypothesis at the 0.05 level of significance, what decision do you make using the p-value approach
hypothesis testing?
What is the p-value for this test?
0.0001 (Round to four decimal places as needed.)
What is the conclusion for this test?
Since the p-value is
less
than a,
reject
the null hypothesis and conclude that there is
sufficient evidence that you need to adjust the production equipment.
c. Interpret the meaning of the p-value in this problem. Choose the correct answer below.
A. The p-value is the probability that the sample of widgets have a mean length of 2.46 feet or less, given that the the mean length is actually 2.6 feet.
O B. The p-value is the probability that the sample of widgets have a mean length of 2.6 feet or greater.
O C. The p-value is the probability that the sample of widgets have a mean length of 2.6 feet or greater, given that the the mean length
actually 2.46 feet.
O D. The p-value is the probability that the sample of widgets have a mean length of 2.46 feet or less.
d. Compare your conclusions in (a) and (b). Choose the correct answer below.
O A. Using the critical value approach the null hypothesis was not rejected and using the p-value approach the null hypothesis was not rejected. The critical value approach and the p-value approach are two different methods of finding the
same answer.
O B. Using the critical value approach, the null hypothesis was not rejected and using the p-value approach, the null hypothesis was rejected. The critical value approach and the p-value approach yeild opposite results.
OC. Using the critical value approach, the null hypothesis was rejected and using the p-value approach, the null hypothesis was not rejected. The critical value approach and the p-value approach yield opposite results.
O D. Using the critical value approach the null hypothesis was rejected and using the p-value approach the null hypothesis was rejected. The critical value approach and the p-value approach are two different methods of finding the same
answer.
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