Forty-one small lots of experimental product were manufactured and tested for the occurrence of a particular indication that is attribute in nature yet causes rejection of the part. Thirty-one lots were made using one particular processing method, and ten lots were made using yet a second processing method. Each lot was equally sampled (n = 33) for the presence of this indication. In practice, optimal processing conditions show little or no occurrence of the indication. Method 1, involving the ten lots, was run before Method 2. Determine, at the 0.05 level of significance, whether there is a difference in the proportion of reject product between the two methods. (Use Method 1 - Method 2.)
Methods | n | Number of Rejects |
Method 1 | 330 | 5 |
Method 2 | 1023 | 24 |
(a) Find z. (Give your answer correct to two decimal
places.)
(ii) Find the p-value. (Give your answer correct to four
decimal places.)
(b) State the appropriate conclusion.
Reject the null hypothesis, there is not significant evidence of a difference in proportions.
Reject the null hypothesis, there is significant evidence of a difference in proportions.
Fail to reject the null hypothesis, there is significant evidence of a difference in proportions.
Fail to reject the null hypothesis, there is not significant evidence of a difference in proportions.
(a)
The z test statistics is
z = -0.90
(ii)
The p-value is: 0.3681
(b)
Fail to reject the null hypothesis, there is not significant evidence of a difference in proportions.
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