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Create an equation for which the appropriate test of the statistical hypothesis would require the use of a z-score. (For the population mean for the variable of interest, you may invent a hypothetical population mean for the sake of this equation.)
o Clearly identify the independent and dependent variables you would analyze.
o Determine whether a one-tail or two-tail test is most appropriate and explain why.
o Generate a testable null statistical hypothesis and an alternative statistical hypothesis.
o Select an alpha level of .05, .01, or .001 and justify your choice.
Explain why it makes sense for a set of data to have a correlation coefficient of zero when the data show a very definite pattern.
Perform a significance test to see if there is a relation between mortality and duration of employment in the group hired AFTER 1945 and report a p-value.
Utilize a test of the difference among proportions when answering these questions. Illustrate the research hypothesis.
Identify the independent and dependent variables, and Construct a nominal, ordinal, and interval level measure for each independent and dependent variable.
What is the probability that at least 8 of the next 15 errors are due to operator errors? What is the probability that no more than 3/10 failures are due to operators?
A delivery truck averages 15 miles per gallon, with a standard deviation of 3 miles per gallon, and that fuel consumption is Normally Distributed.
Compute the 95% confidence interval for the percent of homeowners who are dissatisfied with their homeowner's insurance policy.
A sample of n=20 has a mean of M=40. If the standard deviation is s=5, would a score of x=55 be considered an extreme value?
Explanation on what is the logic behind using the sum of the products of deviation scores as the numerator of the formula for the correlation coefficient?
Consider in you response how the concepts of a population (and its associated parameters) and the sample (and its associated estimates) fits into the discussion.
The heights in centimeters of 5 students are: 165, 175, 176, 159, 170. The sample median and sample mean are respectively:
If the sum of squares regression is 1,000 and the sum of squares total is 5,000. Given that the sum of squares residual (or error) is 4,000 what is the r-squared value?
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