1. You work for the FTC. A manufacturer of detergent claims that the mean weight of detergent is 4.25 lb. You take a random sample of 64 containers. You calculate the sample average to be 4.238 lb. with a standard deviation of .127 lb. At the .05 level of significance, is the manufacturer correct?
2. Is the average capacity of batteries less than 120 ampere-hours? A random sample of 49 batteries had a mean of 118.47 and a standard deviation of 3.66. Assume a normal distribution. Test at the 0.1 level of significance.
3. A random sample of graduated students from Acsenda is taken to identify how much of students find a job after their graduation. 348 out of 400 students had a satisfying job. The management has concluded that 90% of graduate students have found a satisfying job. Test the hypothesis at 0.05 level of significance to see if the management is correct.
1.
The null and alternative hypothesis is ,
The test is two-tailed test.
Since , the population standard deviation is not known.
Therefore , use t-distribution.
Now , df=degrees of freedom=n-1=64-1=63
The critical values are ,
Rejection rule : Reject Ho , if t-stat>1.998 and t-stat<-1.998
The test statistic is ,
Decision : Here , the value of the test statistic does not lies in the rejection region.
Therefore , fail to reject Ho.
Conclusion : Hence , there is sufficient evidence to support the manufacturer's claim.
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