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Assume that female students' heights are normally distributed with a mean given by µ = 64.2 in. and a standard deviation given by σ = 2.6 in.
1. If one female student is randomly selected, find the probability that her height is above 63.0 in.
2. If 100 female students are randomly selected, find the probability that they have a mean height greater than 63.0 in.
Find the margin of error for the 95% confidence interval used to estimate the population proportion.
Formulate an appropriate hypothesis test to examine at the 10% level of significance whether the manager's worries are justified.
The times it takes workers to complete a task at a certain assembly plant are normally distributed with mean = 10 minutes and standard deviation = 2 minutes.
Find a 95% confidence interval for the mean daily caloric intake. Interpret this interval.
A student scores 81 on a chemistry test and 75 on a history test. For the chemistry test, the mean was 70 and the standard deviation was 20. For the history test, the mean was 65 and the standard deviation was 8.
he population consists of all 15 year olds living in the attendance district of a local high school. You plan to obtain a simple random sample of 200 such residents by using the roster of the high school as the sampling frame.
Assume P1 and P2 move simultaneously. Represent this game in normal form.
If the top 15% of the test scores are usually good enough for admission to law school, find the cut off score for gaining admission.
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..
Critically discuss the difference between the "skewedness" of the distribution of a dataset and its "kurtosis"? What is the expected value (EV) of an investment if there is a 20% chance of realizing a return of $20,000 or a 55% chance of realizing a..
The mean is a useful measure, but it can be misleading. Describe a circumstance when the mean is very useful as the average and a circumstance when the mean is very misleading as the average.
First-order regression model was fit to data. Part of printout follows?
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