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Cashier records from the last year show that 60% of all Grayson's Grocery store customers use a previously-obtained Grayson's discount card upon checkout. Management suspects the percentage of actual cardholders is higher because some customers may not use their Grayson's card during every visit They decide to sample random customers who enter the store, and ask them if they have a Grayson's card.
Suppose they solicit 400 customers one day, and find that 250 of them have a Grayson's card. Assume that 60% of all Grayson's customers have a discount card, what is the probability of getting a sample proportion of at least 250 / 400=0.625?
A nutritionist wants to estimate the mean amount of cholesterol in a certain variety of chicken eggs. She wants to be within 14 mg. with 99% confidence.
A prison official wants to estimate the proportion of cases of recidivism. In examining 250 convicts there are 65 cases. with 99% confidence interval what is the range? How do you figure this type of problem?
What should the cut-off score be for the interviews? (Round to nearest whole number).
Jim's average delivery time was 38 minutes whereas Alison's average delivery time was 40 minutes. The respective standard deviations were 5 minutes and 4 minutes.
Give an example of a problem (business, political, scientific) in which ANOVA analysis would be appropriate. (Hint: the dependent variable is categorical, such as male vs. female or comparing three different types of fertilizer.)
Ohio Company provided the following information regarding its only product--ice skates.
There are predictable stages through which every critical thinker must pass. Under what circumstances might one regress from one stage to a previous one?
A pie chart shows the market shares of cola products. The "slice" for Pepsi-Cola has a central angle of 90 degrees. What is its market share.
Determine the highest number of miles (to nearest whole number) that motorist could drive in month and still qualify for discount?
Critically illustrate out the limitations of seasonal forecasting? Provide examples.
Compare your best difference to the result from an ordinary two-sample t-test between these groups. Comment the difference.
Assume we interested in relationship between the age of individual, as measured by visits. Suppose after selecting 15 members the observation:
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