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A survey was mailed to a total of 400 students; 100 were randomly selected from each of the freshman, sophomore, junior and senior classes last semester. What sampling method was used?
Dogs were trained with urine samples from bladder cancer patients and people from a control group who did not have bladder cancer.
What is the probability that the sample mean would differ from the true mean by greater than .04 dollars if a sample of 183 5 gallon pails is randomly selected? Round answer to 4 decimal places.
Use the above information to calculate the number of watches (units) and the sales dollars we need in order for our flea market business to break even for the day.
Identify this F ratio. What does the F ratio tell you about the fit of the regression equation to the sample points? What does it suggest?
Draw a simulation experiment for car agency and simulate using fleet of four rental cars for 10 days.
What would be the correct null and alternative hypothesis for the following situation: The sample has a mean of 72.3 mph and a standard deviation of 7.4 mph. Use a 0.05 significance level to test the claim that the mean speed of all cars is greate..
Compute the mean and variance of the following discrete probability distribution. A cola-dispensing machine is set to dispense on average 7.00 ounces of cola per cup. The standard deviation is 0.10 ounces. The distribution of amounts dispensed foll..
Use Wilcoxon rank-sum test to test at the .10 level of significance to test the claim that the difference in dosage have significant effect on the length of time it takes guinea pigs to fall asleep.
What is the probability that the offspring will not have the disease. In other words what is the probability that offspeing will have genotype ss interpret this probability.
Steve Goodman, production foreman for the Florida Gold Fruit Company, estimates that the average sale of oranges is 4,700 and the standard deviation is 500 oranges. Sales follow a normal distribution.
This model is fit to the data using the method of least squares using statistical software, and the following parameter estimates and their standard errors are obtained.
When we say we have a confidence level of 95%, what do you think our "margin of error" is? If we move the level of confidence from 95 to 99%, what will happen to our margin of error? What will happen to the width of our confidence interval?
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