he quality control engineer at a bottling plant keeps track of the number of bottles that are either overfilled or underfilled. She believes that the percentage of such bottles is less than 4%. To examine the issue she selects 400 bottles and counts the number of overfilled and underfilled bottles. She finds the number of underfilled bottles is 3 and number of overfilled bottles is 9. At 6% level of significance, the conclusion is: a. that there is sufficient evidence to conclude that she is right. b. that there is sufficient evidence to conclude that she is right when in fact such evidence may not exist. c. that there is not sufficient evidence to conclude that she is right when in fact such evidence may exist. d. that there is not sufficient evidence to conclude that she is right. e. that more information is needed to analyze this problem. The p-value for the previous question is: a. 0.1335. b. 0.1539. c. 0.3461. d. 0.0207. e. approximately zero.
The quality control engineer at a bottling plant keeps track of the number of bottles that are either overfilled or underfilled. She believes that the percentage of such bottles is less than 4%. To examine the issue she selects 400 bottles and counts the number of overfilled and underfilled bottles. She finds the number of underfilled bottles is 3 and number of overfilled bottles is 9. At 6% level of significance, the conclusion is:
| a. |
that there is sufficient evidence to conclude that she is right. |
|
| b. |
that there is sufficient evidence to conclude that she is right when in fact such evidence may not exist. |
|
| c. |
that there is not sufficient evidence to conclude that she is right when in fact such evidence may exist. |
|
| d. |
that there is not sufficient evidence to conclude that she is right. |
|
| e. |
that more information is needed to analyze this problem. |
The p-value for the previous question is:
| a. |
0.1335. |
|
| b. |
0.1539. |
|
| c. |
0.3461. |
|
| d. |
0.0207. |
|
| e. |
approximately zero. |
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