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How do we decide if the homogeneity of variance assumption is significantly violated? If the homogeneity of variance assumption is violated, how does this influence the decision about which version of the t ratio and degrees of freedom to report?
The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card.
Professor Cox needs a volunteer amongst 30 students in his statistical applications course. The average age of his students is 25 years, with the standard deviation of 3 years.
Draw a normal probability plot for residuals using excel or Minitab. Do the residuals seem normally distributed? If yes, why?
Construct appropriate control charts for before and after introduction of the new pathway. Discuss process stability and the results.
The calculated Z test statistic is a positive value that leads to a p-value of .045 for the test. If the significance level (α) is .01, the null hypothesis would be rejected.
Suppose we wish to test the null hypothesis that there are no differences among the proportion of men and women who developed a rash. Evaluate the P-value of the chi-square test of this hypothesis.
Which is the probability that the median of the sample is between $17 and $20?
The standard deviation of the time to complete the entire homework assignment
Plot stem-and-leaf plot and boxplot for Mtotal. Illustrate hand calculation of median location and upper hinge location of boxplot, and determine their corresponding data values.
As we can say there is 5.5 percent chance of seeing the current policy having an effect on smog in the results we observed from natural sampling variation.
There were 25 subjects included in each of the combinations of gender and smoking status. One of the variables measured was the heart rate after six minutes of exercise. A two-way ANOVA is performed with the resulting ANOVA table given below
A research analyst regresses the number of calls for service (Y) on the Fahrenheit temperature at 4:00 in the afternoon (X). The regression equation finds: Y = 62 + 2.4 X with an r 2 of .67
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