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Assume the probability that you will make a sale on any given telephone call is 0.11. Find the probability that you make your first sale on the fifth call, make your sale on the first, second, or third call, and do not make a sale the first three calls.
Find out the Expected value of the perfect information for the given problem. Given the subsiquent cost tree, illustrate what is the expected outcome.
Given are the numbers of times the machine was used over each of the last 30 days. Find out the mean number of times the machine was used per day.
Compute the mean, variance and standard deviation for the grouped data. Based on the previous answer, how much could the realtor expect to make if he sells 3 houses?
Test this conjecture with formal hypothesis test, by using a 5% significance level. Find out the p-value for hypothesis test.
Explain the terms parameter and statistics. Make sure the concepts of population and sample are included in the definitions.
To test whether the significant difference between two proportion test using large sample test.
Re item 4, assume the critical value for this test is 4.92, and you obtain a computed statistical value of 7.45. Is there evidence to refuse null hypothesis? Describe why or why not?
Find the area under the normal distribution curve to the right of z = -1.03.
An educational study utilizes a simple pre post design to assess the efficacy of a computer tutor for solving inequalities.
It has been claimed that women live longer than men; however, men tend to be older than their wives. Ages of sixteen husbands and wives from England were obtained. The null hypothesis of equality of means is rejected. What conclusion can be made f..
The coffee/soup machine at the local bus station is supposed to fill cups with 6 ounces of soup. Ten cups of soup are brought with results of a mean of 5.93 ounces and a standard deviation of 0.13 ounces. Construct a 99% confidence interval for th..
Identify three discrete variables that appear in your current or future career. How do those variables affect your workplace, your product, or your personnel? How would changes in those variables affect these things?
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