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A marketing research analyst collects data for a random sample of 100 customers out of the 400 who purchased a particular "coupon special". The 100 customers spent an average of N25 in the store with a standard deviation of N6. The marketing manager had claimed that the average purchase by those responding to the coupon offer would be at least N20. Can this claim be rejected at a 1 percent level of significance?
Determine the coefficient of determination R 2 . Determine standard error of the estimate s e .
Find out the correlation among the two variables in the regression. A simple linear regression produced the following computer output.
Perform hypothesis testing on one variable's data.
The random variable xi represents the number of complaints, and p(xi) is the probability of receiving xi complaints.
Calculate the population mean and population standard deviation.
We want to test the hypothesis that the population variances are equal.
A university found that 20 percent of its students withdraw without completing the introductory statistics. Assume that 20 students registered for the course.
There're several measures of central tendency. By far the most frequently utilized of these measures is mean of population. Remember that the source of the data that you want to analyze always comes from what is called a population.
Compute Pearson's correlation coefficient between age and amount spent on this particular product.
Use the binomial distribution formula to calculate the probability that a) out of 5 adults, none is concerned that employers are monitoring phone calls.
Hours worked is important predictor of amount of sales.
The pooled variance of two samples is:
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