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local brewery distributes beer in bottles labeled 24 ounces. A government agency thinks that the brewery is cheating its customers. The agency selects 50 of these bottles, measures their contents, and obtains a sample mean of 23.6 ounces witha standard deviation of .70 ounces. Use a .01 level of significance to perform a z-teston the agencys claim that the brewery is cheating its costumers. show all work for making the decision using critical regions. Include the null and alternative hypothes, name the test being used, find the correct test statistic, the critical statistic, and a diagram.
In a random sample of 150 freshman applications received thus far, 67 of the applicants request financial aid. Is there evidence that the proportion of next year's freshmen class needing financial aid has increased?
Is there a significant difference in sales dollars of hats between the west side and east side stores at the 5 percent level of significance? (a) State the hypotheses. (b) State the decision rule and sketch it. (c) Find the test statistic and stat..
Find the critical values and identify the rejection regions. Calculate d and sd. Use the t-test to find the standardized test statistic t. decide whether to reject or fail to reject the null hypothesis.
Based on information, compute the following: Percentage (or portion) of children who watch television less than 6.5 hours a week.
A random sample of stipends of teaching assistants in economics is listed below. Is there sufficient evidence at the alpha=.05 level to conclude that the average stipend different from $15,000? The data is listed below:
Would it be reasonable to conclude that the 5 percent of the employees are not able to pass the random drug test?
Rob Johnson is a product manager at Diamond Chemicals, which is considering whether to launch a new product line that will require it to build a new facility.
Compute the z-score for M=89 for a sample of n=25 scores. Is this sample mean in the middle 95% of the distribution?
The sample mean life is 5.5 years with a standard deviation of 0.6 years. If you were constructing a 99% two-sided confidence interval estimate, the lower limit would be?
According to recent surverys, 53% of households have personal computers. if a random sample of 175 households is selected, what is the probability that more then 75 but fewer than 110 have a personal computer?
In a series of tests, the piece was let operate till failure, repaired immediately, and let operate till next failure and so on for 3 months. The total number failures observed were 3.
Explain the difference between the null and alternative hypothesis. Which one can be proven in a statistical sense?
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