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Four key marketing decision variables are price (P), advertising (A), transportation (T), and product quality (Q). Consumer demand (D) is influenced by these variables. The simplest model for describing demand in terms of these variables is:
D = k - pP + aA + tT + cjQ
where k, p, a, t, and q are constants. Discuss the assumptions of this model. Specifically, how does each variable affect demand? How do the variables influence each other? What limitations might this model have? How can it be improved?
Using data table given below, find out the range and median?
The null hypothesis is to be tested at 95% confidence. Determine the critical values for this test.
Explain the difference between a discrete and a continuous random variable. Give two examples of each type of random variable.
What is your decision regarding the null hypothesis and interpret.
A researcher used stepwise regression to create regression models to predict Birthrate (births per 1000) using five predictors:
each person received was determined by randomization. For each person who was sent one of the surveys, the researcher recorded whether or not a completed survey was returned.
A soft drink bottling machine is set to dispense soft drink into containers labeled 16 ounces. While the actual quantities vary they are normally distributed with a mean of 16.1 ounces and a standard deviation of 0.015 ounces.
For this same sample of n = 45, find out the width of confidence interval around population mean? Illustrate all work.
Within each of your current careers/ jobs, there are sets of data that can be analyzed. For example, a teacher can use a set of test scores, a dietician can analyze a set of patient weights and correlate them to incidences of diabetes, and a sales..
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
A statistical analysis of 1,000 long-distance calls made from the headquarters of the Bricks and Clicks Computer Corporation indicates that the length of these calls is normally distributed with μ = 240 seconds and σ = 40 seconds.
would this prove that they are exceeding their goal, using α = 0.025?
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