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konstantin123 [22]
3 years ago
15

The quality manager at Bestiful Company is certifying a new process that must produce 95% (or better) good product before the pr

ocess is considered proven. A sample of 40 containers from the process line are tested, and 93% are found to be good. Suppose the null hypothesis is formulated as: p = 95%, and the alternative hypothesis is formulated as: p < 95%. The significance level is set at α = 0.01. Calculate the p-value of the test. Please type your answer with 4 decimal places.
Mathematics
1 answer:
Nadya [2.5K]3 years ago
4 0

Answer:

The calculated value Z= -0.5822

|z| = |-0.5822|< 2.576 at 0.01 level of significance

Hence null hypothesis is accepted

The quality manager at Restful Company is certifying a new process that must produce 95% (or better) good product

Step-by-step explanation:

<u>Explanation:</u>-

<u>Step:-(i)</u>

The Population proportion is P = 95% =0.95

A sample of 40 containers from the process line are tested, and 93% are found to be good

Sample size ( n) =40

The sample proportion 'p' = 0.93

<u>Level of significance (α )= 0.01.</u>

<u>Null hypothesis:</u>-p = 95%=0.95

<u>Alternative hypothesis:- </u>p≠0.95

The test statistic

                             Z = \frac{p-P}{\sqrt{\frac{PQ}{n} } }               (i)

<u>Step:(ii)</u>

substitute all values in (i)

Z = \frac{0.93-0.95}{\sqrt{\frac{0.95X0.05}{40} } }

Z = -0.5822

The calculated value Z= -0.5822

|z| = |-0.5822|< 2.576 at 0.01 level of significance

Hence null hypothesis is accepted

<u>Conclusion</u>:-

The quality manager at Restful Company is certifying a new process that must produce 95% (or better) good product

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