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• Choose a construct you would like to measure.
• Create an operational definition of your construct using at least three peer-reviewed journal articles as references.
• Select and list five items used to sample the domain.
• Select the method of scaling appropriate for the domain. Justify why you selected the scaling method you did.
• Format the items into an instrument with which you would query respondents. Justify whether this is an interview or self-report instrument.
Assume the arrival of these emails i3 approximated by the Poisson distribution.
Key Refining decided to send a special financing plan to charge account customers having the highest 10 percent of the money charges. What is the dividing point between customers who receive the special plan and those who do not.
Find the probability that a standard normal random variable will assume a value between: Find a z such that 70% of the area is above that value.
30% of the college of business students major in finance. A random sample of 20 students is selected. What is the probability that no more than 3 students of the selected students are majoring in finance?
Use Chebyshev's theorem to find what percent of the values will fall between 120 and 150 for a data set with mean of 135 and standard deviation of 7.5
Is there meaningful relationship between grades and SAT scores? If student scores 450 on the SAT, what do youbelieve his or her GPA will be?
Suppose we want to compare the observed and expected number of events among the group 250 treatments.
How is regression analysis used in forecasting? Provide examples. How may it be used to formulate strategies?
The Evergreen Fertilizer Company produces fertilizer. The company's fixed monthly cost is $25,000, and its variable cost per pound of fertilizer is $0.15.
Construct a scatter plot of P-RFM and P-HELM. If drawing the plot by hand, use graph paper to ensure accuracy.
We recalculated our comparison of ideal number of children, this time only for women, separating them into two groups, those who indicated that they were "very happy" or "not at all happy" with life.
Suppose that the probability of strong demand is 0.8 and the probability of weak demand is 0.2. What is the optimal decision using the expected value approach?
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