The operations manager of a company that manufactures tires wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. She randomly selects 499 tires and carefully inspects them. Each tire is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the tire produced. The data can be summarized by the accompanying two-way table. DF= 4 A) This sample has degree of freedom: Shift 1 Shift 2 Shift 3 Total = Perfect 106 66 36 208 component 1,1 D) x² value of this sample is x² = = Satisfactory 124 85 74 283 If shift and quality are independent, then B) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is E1,1 C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table is Defective 2 3 3 8 Total 232 154 113 499 . Round to 2 decimal places.
The operations manager of a company that manufactures tires wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. She randomly selects 499 tires and carefully inspects them. Each tire is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the tire produced. The data can be summarized by the accompanying two-way table. DF= 4 A) This sample has degree of freedom: Shift 1 Shift 2 Shift 3 Total = Perfect 106 66 36 208 component 1,1 D) x² value of this sample is x² = = Satisfactory 124 85 74 283 If shift and quality are independent, then B) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is E1,1 C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table is Defective 2 3 3 8 Total 232 154 113 499 . Round to 2 decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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he operations manager of a company that manufactures tires wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. She randomly selects 499 tires and carefully inspects them. Each tire is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the tire produced. The data can be summarized by the accompanying two-way table.
A) This sample has degree of freedom:
��= 4Correct
If shift and quality are independent, then
B) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is
�1,1= 116.19Incorrect
C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table is
component1,1= 116.19Incorrect
D) �2 value of this sample is
�2= 116.19Incorrect . Round to 2 decimal places.
E) At significance level 0.02, is the sample showing strong evidence that shift and quality are dependent? Use 4 decimal places for p-value.
F) The p-value for this sample was:
p-value =
Perfect | Satisfactory | Defective | Total | |
---|---|---|---|---|
Shift 1 | 106 | 124 | 2 | 232 |
Shift 2 | 66 | 85 | 3 | 154 |
Shift 3 | 36 | 74 | 3 | 113 |
Total | 208 | 283 | 8 | 499 |
A) This sample has degree of freedom:
��= 4Correct
If shift and quality are independent, then
B) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is
�1,1= 116.19Incorrect
C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table is
component1,1= 116.19Incorrect
D) �2 value of this sample is
�2= 116.19Incorrect . Round to 2 decimal places.
E) At significance level 0.02, is the sample showing strong evidence that shift and quality are dependent? Use 4 decimal places for p-value.
- Yes
- No
F) The p-value for this sample was:
p-value =
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