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The following data represent the service charge for direct-deposit customers if a customer's account falls below the minimum required $1,500 balance for a sample of 26 banks.
12 8 5 5 6 6 10 10 9 7 10 7 75 0 10 6 9 12 0 5 10 8 5 5 9
a. Construct a 95% confidence interval for the population mean service charge if a customer's account falls below the $1,500 minimum.
b. Explain in words what this confidence interval means.
Illustrate the regression model and predict it. The following table shows the yearly maintenance costs for several cars, as well as their age.
The American Sugar Producers Association wants to estimate the mean yearly sugar consumption. A sample of 16 people reveals the mean yearly consumption to be 60 pounds with a standard deviation of 20 pounds.
Find the probability that a randomly selected teacher earns and what sample size is necessary to double the standard error of the mean and what sample size is needed to cut the standard error of the mean in half?
The various measures of central tendency: compare them (how they are similar) and contrast them (how they are different), including specific references to numbers, pictures, and tables derived from the data set.
The data in the scatterplot below are an individual's weight and the time it takes (in seconds) on a treadmill to raise his or her pulse rate to 140 beats per minute. The o's correspond to females and the +'s to males.
At the 5% level of significance, can we infer that the population mean weight of athletic men is lower than the population mean weight of non-athletic men by more than 2 pounds?
Finding the probability value for the given data using normal approximation
Indicate your hypotheses, decision rule, statistical decision and management conclusion using the critical value and then find the p-value and state your decision rule, statistical decision and management conclusion using this method.
Develop a 99 percent confidence interval for the population proportion.
As a test the truck company purchases a random sample of metal parts from Steel-R-Us, and then determines if these parts were delivered on-time. Which hypotheses should they test?
What is the probability of a false negative test (the probability that a person having muscular distrophy tests negative)?
Illustrate out the term control chart? Critically discuss the grand mean, the UCL and the LCL of a control chart for the mean?
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