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Of nine executives in a business firm, four are married, three have never married, and two are divorced. Three of the executives are to be selected for promotion. Let Y1 denote the number of married executives and Y2 denote the number of never-married executives among the three selected for promotion. Assuming that the three are randomly selected from the nine available, find the joint probability function of Y1 and Y2.
two points are randomly on a line of length 14 so as to be on opposite sides of the midpoint of the line. in other
For the samples summarized below, test the hypothesis that the two variances are equal, at α = 0.05
A fair coin is thrown n times. Show that the conditional probability of a head on any specified trial, given a total of k heads over the n trials, is k/n (k > 0).
with very few degrees of freedom the test statisticselect onea. needs to be more extreme to reject the null
only using standard six sided dice andor a standard deck of playing cards create a casino game that has all of the
We have no knowledge about whether waiting times follow a normal distribution. Why is it nevertheless appropriate to use inference methods which rely on the assumption of normality? Construct a 97% confidence interval for the true mean emergency wa..
find the sample size needed to estimate the percentage of adults who have consulted fortune tellers. use a 0.03 margin
the mean for coaches is 90 with a sd of 12 and the mean for players is 70 with a sd of 10. what is the probability that
Develop a correlation matrix using MPG (miles per gallon), HP (horsepower), WT (weight). Is the correlation between the variables significant or not? Conduct a test for all correlations; that is for MPG v. HP; MPG v. WT; HP v. WT. Use a level o..
How strong is the evidence against the company's claim? Based on these data, the P -value of the appropriate test
At the .05 level of significance, can we conclude that those joining Weight Reducers on average will lose less than 10 pounds? Determine the p-value.
The manager of an express oil change service has determined that the number of customer who arrive in a one hour time interval (x) can be modeled using a Poisson model with mean =2.5 customer per. What is the standard deviation of the number of cu..
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