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1. Determine what would happen to your critical value (Z) if you were to change the level of significance (a) from .05 to .1 in a two tailed hypothesis test.
2. Why would the critical value change in the way you predict?
3. What does this suggest about the trade offs between Type 1 and Type II errors?
A farmer in South Carolina must decide which crop to plant next year on his land: corn, peanuts, or soybeans. The return from each crop will be determined by whether a new trade bill with Russia passes the Senate.
The mean annual salaries paid to male and female employees of the company were EURO 32.000,- and 24.000,- respectively. Determine the percentage of males and females employed by the company.
Based on the result, does there to be an overall perception of 1 minute that is reasonably accurate?
Assume you are the manager of a paint manufacturing factory. Your company has received complaints from customers that the containers hold less than the amount printed on them.
Compute the pdf of continuous random variable Z where Z = X + Y and X is a continuous random variable uniformly distributed on [0, 2] and Y is a continuous random variable uniformly distributed on [0, 4]. Assume that X and Y are independent.
A regional commuter airline selected a random sample of 25 flights and found that the correlation between the number of passengers and the total weight, in pounds, of luggage stored in the luggage compartment is 0.94.
What is the probability that there will be a stock out? Given that you, the maintenance officer at the facility, want the probability of a stock out to be no more than 5% what should the reorder point be?
Explain the independent variable, covariate, and levels (groups) of eah. Also, explain the dependent variable and its associated measurement scale and expected outcome.
Critically discuss the mean number of children per household for these families? Round your answer to at least one decimal place.
Evaluate the multiple regression model between quantity sold (Y) and following explanatory variables: average price of deep-dish pizzas, monthly advertising expenditures, and disposable income per household in areas surrounding outlets.
Suppose that in a hypothesis test with null hypothesis = 13.0 at 0.05, that a value of 11.0 for the sample mean results in the null hypothesis not being rejected.
We are interested in determining if the accident proportions differ between the two age groups:
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