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In traditional marketing research surveys, are purchase intent questions measured on a 5 point scale (e.g. definitely would buy, probably would be, etc), considered to be ordinal or interval data, and as such should we use parametric tests (t) or non-parametric tests (chi squared) to analyze the results? I assume the answer is the same for other attitudinal ratings, such as uniqueness, etc?
If you randomly select ten m&m's, what is the probability that exactly three of them are green?
Rhode Island Red Chickens the incubation time for Rhode Island Red chicks is normally distributed to find out the number of chicks we expect that will hatch.
The heights were normally distributed, with a mean of 67.8 inches and a standard deviation of 4.0 inches. A study participant is randomly selected. Find the probability that his height is less than 65 inches.
Evaluated that there is a 95% probability of only slight losses of around $1 million. Using decision tree analysis, determined whether bank must install new power generator.
Which of these following statements provides the best guidance for the model building?
A researcher would like to evaluate the relationship between a person's age and their preference between two leading cola brands.
What is a point estimate for the population mean µ?
From her district, consisting of several hundred stores, she selects a random sample of 30 stores. For each store she gathered the following information.
Explain the difference between a population and a sample. In which of these is it important to distinguish between the two in order to use the correct formula?
The mean of land and buildings per acre from a sample of farms was $637, with a standard deviation of 26. Use Empirical Rule to find approximate percentage of acreage whose values were between $ 661 and $663.
Determine sample size requirements. When the results are available you would like your margin of error to be plus or minus 5% for the satisfaction measure and plus or minus $1.50 for the spending value.
Standard deviation of 0.7 years. If you randomly purchase one item, what is the probability it will last longer than 13 years?
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