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In bridge, 52 cards are partitioned into 4 equal parts. What is the probability that each player has an ace? 4. What is the probability that a hand in bridge (13 cards) consists of 5 spades, 4 hearts, 3 diamonds, and 1 club? 5. Bob throws six dice and wins if he scores at least one ace. Alice throws 12 dice and wins if she scores at least two aces. Who has the greater probability of winning?
Give a brief definition and an example of the following: What does the correlation coefficient r describe? What about r squared?
99.7% of the final game scores fall within what range, what percent of all final game scores did the pistons have more than 106 points?
More than 19 of them eat this brand of cereal 3) between 12 and 17 (inclusive) of them eat this brand of cereal? 4) find the mean and standard devation.
State the hypotheses. (c) State the decision rule and sketch it. (d) Find the test statistic. (e) Make a decision. (f) Find the p-value and interpret it.
Perform the chisquare test for a uniform distribution. At α = .05, does this sample contradict the assumption that sales are the same for each beverage?
A large population of overdue bills has balances that follow a normal curve. When we take a sample of 100 of these the average is $500 and the standard deviation is $100. (a) what statement can you make about the range $300 to $700? (b) what state..
The standard deviation of the sample is 2.5 calls. Using the .05 significance level, can we conclude that the mean number of calls per salesperson per week is more than 44?
The grouped frequency distribution below summarizes the results. Based on the grouped frequency distribution, you are to identify the mean and median for waiting times.
Does this sample indicate a smaller average? Use α = 0.05 and assume a normally distributed population.
Verify that the fitted values have the same mean as the actual y-values, and that the residuals have mean zero and show that the variance of the fitted values plus the variance of the residuals adds up to the variance of y. Find the R-squared.
If a technical breakthrough occurred that raised the profit per unit of X 1 to $3, would this affect the optimal solution?
In a sample of 64 patients, suppose that 47 showed allergic reduced reaction and 17 show increased reaction. Are these results sufficient to conclude a significant effect?
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