From previous studies, it is concluded that 80% of workers indicate that they are dissatisfied with their job. A researcher claims that the proportion is larger than 80% and decides to survey 200 working adults. Test the researcher's claim at the α=0.005 significance level.
1) Verify np(1−p)≥10. Round your answer to one decimal
place.
np(1−p) =
2) Based on the sample of 200 people, 89% workers indicate that they are dissatisfied with their job. What is the test statistic? Round your answer to two decimal places.
= ?
3) What is the p-value? Round your answer to four
decimal places.
Here, n = 200 and p = 80% = 0.8
1)np(1-p) = 200*0.8*0.2
= 32 , which is greater than 10.
Therefore, it is verified.
2) A researcher claims that the proportion of workers dissatisfied with their job is larger than 80%. To test :
H0 : p = 0.80
H1 : p > 0.80
The sample proportion, = 0.89 and n = 200
The test statistic , z = ( - p) / p(1-p)/n
= 0.09 / 0.0282
= 3.19
The test statistic is z = 3.19.
3) We find the p-value for this corresponding test statistic using MS-Excel. Using MS-Excel, the p value is :
p = 0.0007
Since p-value is less than the significance level we reject the null hypothesis at level 0.005 and conclude that the proportion of workers dissatisfied with their job is larger than 80%.
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