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1. Better hiring info. Editors of the business report in Exercise 12 are willing to accept a margin of error of 4% but want 99% confidence. How many randomly selected employers will they need to contact?
2. Pilot study. A state's environmental agency worries that a large percentage of cars may be violating clean air emis- sions standards. The agency hopes to check a sample of ve- hicles in order to estimate that percentage with a margin of error of 3% and 90% confidence. To gauge the size of the problem, the agency first picks 60 cars and finds 9 with faulty emissions systems. How many should be sampled for a full investigation?
3. Another pilot study. During routine conversations, the CEO of a new start-up reports that 22% of adults between the ages of 21 and 39 will purchase her new product. Hearing this, some investors decide to conduct a large-scale study, hoping to estimate the proportion to within 4% with 98% confidence. How many randomly selected adults be- tween the ages of 21 and 39 must they survey?
They then call these 100 people. Does this sampling plan result in a random sample? Simple random sample? Explain.
Using the full 5-step process test to see if a population mean is not 25. Sample data is: Mean 24, standard deviation 10 and a sample of 400 was taken.
From the following frequency d istribution, find the class frequencies that are missing. Calculate mean, median and mode from the following data.
decide whether the random variable x is discrete or continuous. x represents the total number of die rolls required for
Use Random Number Generation (RNG) in Analysis ToolPak of Excel to generate n = 5 observations from the Normal distribution N(20, 5). Construct the 95% confidence interval for μ.
Suppose that you perform a significance test regarding a population mean and that the evidence does not warrant rejection of the null hypothesis.
The president of a certain university makes three times as much money as one of the department heads. If the total of their salaries is$ 200.000, find each worker's salary
The same is true for only 60 of 300 female Engineering majors. Find a 90% confidence interval for the difference in proportions of men and women Engineering majors who got such jobs?
How to calculate expected difference between the samples means, and how does larger variability affect the size of the standard error for the sample mean difference?
The Type 1 error states the probability of being wrong whenever:
A 15-minute Oil and Lube service claims that their average service time is no more than 15 minutes. A random sample of 35 service times was collected, and the sample mean was found to be 16.2 minutes, with a sample standard deviation of 3.5 minute..
Employ the table of standard normal probabilities (z table) to answer the following questions.
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