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Jill wants to do her MBA in Statistics at a B.C. university. She applies to two universities that offer post-graduate degrees in Statistics. Assume that the acceptance rate at University A is 25% and at University B is 35%. Further assume that acceptance at the two universities are independant events.
A) What is the probability that Jill will be accepted by both universities?
B) What is the probability that neither university will accept Jane?
C) What is the probability that Jill will be accepted by at least one of the two universities?
D) What is the probability that one and only one will accept Jill?
Find the standard deviation and variance from the (population) data below. Describe your results.
A company must hire a new CFO and prepares a final list of five candidates - all are equally qualified. Two of the candidates are members of a minority of a minority group. To avoid bias in the selection of the candidate
The null hypothesis is the alternative is Use the given sample data to find out the P-value for the hypothesis test. Provide an interpretation of the P-value.
A. What is the coefficient of determination? B. What is the correlation coefficient? C. What is the sampl mean of Y?
If he were to conduct a second study to reduce the maximum error of estimate to 6, about how many hard drives should he include in his new sample?
In this problem I am having an issue trying to determine what equation to use to solve. Is this a one or two way ANOVA or should I just use a z-test to solve?
Assume 1.5% of antennas on new Nokia cell phones are imperfect. For random sample of 200 antennas, determine the probability that: None of the antennas is defective.
According to accountemps inc. 48% of all executives believe that employees are most productive on Tuesdays. a random sample of 200 executives is taken for a study.
Set-up/solve the problem graphically. (How many ceiling fans and how many floor fans should be made?)
What are examples in which regression analysis is used for forecasting? What are some primary and secondary sources of data that may be used in correlation and regression analysis?
Interpret the three confidence intervals in terms of whether there is a significant difference between the mean of the sample and a hypothesized mean of 150.
Suppose the probability that a federal income tax return conatins an arithemetic error is 0.2. If 10 federal income tax returns are selected at random,
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