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X is a random variable that denotes the number of women who go to college in a sample of 1000. The probability of going to college is 0.4. What is the probability that the proportion of women who go to college is greater than 50%.
A basketball player has a history of making 75% of the foul shots taken during games. The player gets two shots at the foul line.
Determine the coefficient of correlation. Interpret the relationship between BAC and age using the correlation coefficient. Determine the coefficient of determination. Interpret.
How would a decrease of $1 in the x1 coefficient of the objective function affect the optimal values of the decision variables?
Test the claim of the brewery about the mean volume equal to 32 oz. at the 0.05 significance level. It's your choice whether to use z or t.
Use this information to determine the empirical probability that the next bird to visit the feeding station will be a dove.
Company are interested in how a new spaghetti sauce made from green tomatoes (and green in color) will compare to their traditional red spaghetti sauce. They are worried that the green color will adversely affect the tastiness scores.
Compute the standard error of the mean O(funny o with line) line over x, for sample sizes of 50, 100, 15o, and 200. What can you say about the size of the standard error of the mean as the sample size is increased?
What is the probability that a single, randomly selected piece of material will be defective? (Give the answer to two decimal places.)
Given that a Brand A battery just failed, what is the expected value of the time we wait until the next Brand B failure?"
What is the marginal revenue equation? Find the output to the nearest thousand cameras that will produce the maximum revenue. What is the maximum revenue?
Their initial expenditure would be drilling, which would cost $80,000. If they strike gas, they would have to spend an additional $50,000 to cap the well and provide for the necessary hardware and control equipment.
A machine has three components working independently. The probability that Component A fails is 0.1, the probability that component B fails is 0.2, and the probability that component C fails is 0.3.
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