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A professor gives three possible types of exams, and her class does either well or badly. Suppose that the class does well on type 1, 2, and 3 exams with probabilities 0.3, 0.6, and 0.9, respectively. If the class does well on an exam, then the next exam is equally likely to be any of the three types. If the class does badly, then the next exam is always type 1. What proportion of exams are type 1, 2, and 3?
At the .10 significance level you will test to determine if there has been an increase in selling time. Assuming we are using a t test what will be the critical value"?
Below are revenue and profit (both in $ billions) for nine large entertainment companies.
Is there any reasonable explanation for the two months that have the highest frequencies?
State the null and alternate hypotheses if you want to determine whether the mean amount spent is higher for men than for women,
If the sample size is 36 with three treatment means (response variables) and you are performing an ANOVA, then the degrees of freedom for the error term will be:
We are interested in testing to find out whether the variance of the population is vitally more than 0.003
Choose the proper conclusion regarding the claim that the population have different variances.
At α = .05, is there a difference in variances? Illustrate all steps clearly, including the illustration of the decision rule.
How is this relationship different from the bi-variate relationships?
We can use two products at my work, which are mutual funds and see if there is a correlation between the two. The two different funds are: a domestic stock mutual fund, which only invests in large organizations (large cap companies) based here in..
We have already been introduced to sensitivity analysis via the geometry of a simple example. We saw that the values of the decision variables and those of the slack and surplus variables remain unchanged even though some coefficients in the objec..
Conduct a mini-meta-analysis. There is really no such thing as a mini-meta-analysis, but you don't have time to conduct a full meta-analysis.
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