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a normally distributed population of scores has a mean of 1000 and a standard deviation of 64. what percentage of scores fall below a score of 872?
in a normal distribution with a mean of 10 and a standard deviation of 2, what actual score corresponds to a z-score of +1.67?
a school only accepts students with the top 20% of sat scores. the sat has a mean of 500 and a standard deviation of 100. what actual score should be used as the cut-off score?
In a test of the independence of two variables, one of the variables has two possible categories and the other has three possible categories.
A population of scores has p = 44. In this population, an X value of 40 corresponds to z = - 0.50. What is the population standard deviation.
That 95% of all daily sales fell between $19,200 and $36,400. Based on this information what were the mean sales? What was the standard deviation?
Caselet on McDonald’s vs. Burger King - Waiting time
A monthly report to the Texas Department of Health, division of Water Hygiene, contained the following water production data in thousands of gallons:
Would that daily sales figure be considered a potential outlier? why or why not? e) Find the probability that sales on a randomly selected day are at most $3445.
Create a 95% confidence interval for mean cost of repairs. Interpret this interval.
The famous YS Chang restaurant is open 24 hours a day. Waiters and busboys report for duty at 3am, 7am, 11am, 3pm, 7pm, or 11pm, and each works an 8 hour shift. The following table shows the minimum number of workers needed during the six periods ..
The Travel Weekly International Air Transport Association survey asked business travelers regarding the purpose for their most recent business trip.
Suppose that an executive of a venture capital investment firm is trying to decide how to allocate his funds among three different projects, each of which requires a $100,000 investment.
Scores on a test are normally distributed with a mean of 60.9 and a standard deviation of 12. Find P81, which separates the bottom 81% from the top 19%.
At the 5% level of significance, can we infer that the population mean weight of athletic men is lower than the population mean weight of non-athletic men by more than 2 pounds?
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