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An employee survey conducted two years ago Packard Motors Inc. found that 53% of its employees were concerned about future health care benets. A random sample of 80 of these employees were asked if they were concerned about the future health care benets. Answer the following assuming that there has been no change in the level of concern about the health care benets compared to the survey two years ago.
a) What is the standard error of the sample proportion who are concerned?
b)What is the probability that the sample proportion is less than 0.5?
c)What is the upper limit of the sample proportion such that only 3%of the time the sample proportion would exceed this value
A random sample of 32 bottles is selected, and the mean amount of water per 1 gallon can is found to be 0.995 gallon. Calculate the test statistic.
What type of sampling was this study? What is your analysis of this approach? What are the advantages and disadvantages of this approach.
Develop a frequency distribution showing all frequencies, cumulative frequencies, and relative frequencie
Please choose one of the probability constructs below. Then, identify a peer-reviewed journal article that highlights the construct. Compose a post in which you summarize and evaluate the construct's use in the research study.
What is the probability that at least two men arrive before the second woman arrives and what is the probability that six fishes bite during the first two hours and what is the probability that he fails to catch any fishes during the first two hours?
Attended a religious service at least once a month, 20 stopped to help a person with car trouble. At the 0.05 significance level, test the claim that the two proportions are equal.
How much error, on average, would you expect between the sample mean (M) and the population mean for: a sample of n=4 scores, a sample of n=16 scores, and a sample of n=25 scores.
Suppose that 10% of all adults jog. An opinion poll asks an SRS of 400 adults if they jog. a) What is the sampling distribution of the proportion p^ in the sample who jog?
At a = 0.05, can you reject claim that at least 52% of adults are more probable to purchase a product when there are free samples?
We are establishing a quality control program for a process and need to establish the mean and standard deviation for the process. The first 10 batches had samples of size 5 taken.
At the 0.05 level of significance, is there evidence that the population mean reimbursement was less than $100? Discuss the underlying assumptions of the test used in (a).
Under older Federal Aviation Administration rules, airlines had to estimate the weight of a passenger as 185 pounds. That amount is for an adult traveling in winter, and it includes 20 pounds of carry-on baggage.
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