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1. Suppose you hear an "old-timer" say, "Why, in my day, kids were much more respectful and didn't cause as much trouble as they do nowadays!" Formulate a hypothesis related to this statement that you could test. How would you test it?
2. Researchers routinely choose an ◊-level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)?
3. How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?
Identify the null hypothesis, alternative hypothesis, test statistic, p-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.
Formulate a spreadsheet model for performing a computer simulation of the daily sales. Perform 250 replications and obtain the average of the sales over the replications.
What is the city mileage standard deviation for this SUV model?
How many bolts should be sampled in order to make us 95% confident that the sample mean bolt length is within .02 inches of the true mean bolt length?
Using this information, calculate Blpha risk (probability of Type II error) if the true population mean really is 81.
Produce the summary output and give the estimated equation for your chosen model and find a suitable regression model to predict y2 using x2 as an explanatory variable. Comment on the output used and justify your choice of model.
How many more students should be included in the sample to be 99% sure the sample mean x is within $7 of the population mean u for all students at this college?
If 15 golfers have checked in using this process, what is the expected number and standard deviation of no-shows among these golfers? (Show computations)
Assume that 6 customers enter store and that these customers make independent purchase decisions. Use binomial formula to compute probability that exactly five customers make purchase.
Identify the independent and dependent variables. Perform a regression analysis on the data.
You're asked to determine whether the workers live in the community. Your personnel department provides the following table:
While exploring data that was collected for an investigation of resources needed for software testing and improvement, you have found an outlier.
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