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Suppose that you perform a significance test regarding a population mean and that the evidence does not warrant rejection of the null hypothesis. When formulating the conclusion to the test, why is the phrase fail to reject the null hypothesis more accurate than the phrase accept the null hypothesis? Why can the null hypothesis not be proved? Explain.
Critically discuss the mean number of children per household for these families? Round your answer to at least one decimal place.
New study is to use 90% confidence level. Estimate is to be within 1 percent of population proportion. Determine the essential sample size?
Determine the most economical monthly shipping schedule. Provide a table showing the routes and total costs.
The profit from selling food at an outdoor cafe depends on the number of hours of sunshine through the formula, Profit = 1000(1-(e -x /10)). Find the expected level of profit.
Determine the mode for this distribution. Describe why you can't calculate the mean number of times using data in the table.
Obtain a test statistic and p -value. Interpret the results at α = .01.
Assume that the smiling time of eight-week old babies, in seconds, follows a uniform distribution between 0 and 23 seconds, inclusive. This means that any smiling time from 0 to and including 23 seconds is equally likely.
Find out optimal assignment and calculate total minimum cost.
Give three logically possible directions of casualty, indicating for each direction whether it is a reasonable explanation for the correlation in light of the variables involved (and why).
A study was designed to compare variability of male and female diastolic blood pressure. The null hypothesis was that the population standard deviation were equal versus the alternative that they were not equal.
Payne (2001) gave participants a computerized task in which they first see a face and then a picture of either a gun or a tool. The task was to press one button if it was a tool and a different one if it was a gun.
How large a sample size will need to be selected if we wish to have a 99% confidence interval with a margin for error of .10 oz?
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