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You are looking for a way to incentivize the sales reps that you are in charge of. You design an incentive plan as a way to help increase in their sales. To evaluate this innovative plan, you take a random sample of your reps, and their weekly incomes before and after the plan were recorded. You calculate the difference in income as (after incentive plan - before incentive plan). You want to test whether income after the incentive plan is different from income before the incentive plan. What are the hypotheses for this test?
1) HO: μD = 0HA: μD ≠ 0
2) HO: μD ≤ 0HA: μD > 0
3) HO: μD ≠ 0HA: μD = 0
4) HO: μD > 0HA: μD ≤ 0
5) HO: μD ≥ 0HA: μD < 0
The Federal minimum wage is $7.25 (effective July 2009). If an employee earns the new minimum wage, how many complaints can that employee expect to receive?
What happens to the boundaries for the critical regions?
To give 98% confidence interval for population mean μ, you would use critical value.
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
Compute the mean, median, mode and standard deviation for the following discrete probability distribution.
Create a 90 percent confidence interval for the population proportion of all such firms with this as the primary motivation.
What proportion of time will it take clean-up crew 56 or more hours for cleaning plant? Define the lower and upper limits of interval.
Test whether there is a statistical difference between the two proportions at the 5% significance level.
Suppose that this is a simple random sample of adult residents of Maine.
A certain airplane has two independent alternators to provide electrical power. The probability that a given alternator will fail on a 1-hour flight is .02. What is the probability that:
The calculated Z test statistic is a positive value that leads to a p-value of .045 for the test. If the significance level (α) is .01, the null hypothesis would be rejected.
A stationery store wants to estimate the mean retail value of greeting cards that it has in its inventory. A random sample of 100 greeting cards indicates a mean value of $2.55 and a standard deviation of $0.44.
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