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What is the probability you will win any money in the state lottery and the probability that you will win at least $100, if the payoff for $2.00 is 0.0200; $25.00 is 0.0100; $100 is 0.0050; $500 is 0.0010; $5000 si 0.0005 and $10,000 is 0.0001?
Of the 250 students in a blind taste test, 150 (60%) preferred Milwaukee's Best over Natural Light. Then the 90% confidence interval for the student population proportion preferring Milwaukee's Best is:
What should the cut-off score be for the interviews? (Round to nearest whole number).
Also, 72 percent of the managers have MBA degrees. Using the probability formulas, find the proportion of employees who either have MBAs or are managers.
Small bag of Skittles candies has following assortment: red (12), blue (5), orange (15), brown (0), green (16), and yellow (7). Create the probability distribution for x.
We considered Mary's interest in doing a study to see if learning of 6th graders on a math lesson is affected by background noise level. She was planning to use 2 noise conditions and then analyze her outcomes using a t-test for independent groups..
John runs a computer software store. He counted 130 people who walked by his store in a day, 59 of whom came into the store. Of the 59, only 24 bought something in the store.
For the normal distribution curve with mean of 19 and a standard deviation of 6, which range of the variable shows an area under the curve corresponding to a probability of approximately 99.7%?
Suppose that the population of heights of female college students is approximately normally distributed with mean m of 66.24 inches and standard deviation s of 5.07 inches.
Report descriptive statistics, assumptions tests, effect sizes (partial eta) as well as tests of statistical significance.
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..
Determine r.m.s. error for regression prediction of height at 18 from height at 6.
When only the value-added time is considered, the time it takes to build a laser printer is thought to be uniformly distributed between 8 and 15 hours.
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