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Quality Progress, Feburary 2005, reports on the results achieved by Bank of America in improving customer satisfaction and customer loyalty by listening to the "voice of the customer". A key measure of customer satisfaction is the response on a scale from 1 to 10 to the question: "Considering all the business you do with Bank of America, what is your overall satisfaction with Bank of America?"
Suppose that a random sample of 350 current customers results in 195 customers with a response of 9 or 10 representing "customer delight". Find a 95 percent confidence interval for the true proportion of all current Bank of America customers who would respond with a 9 or 10. Are we 95 percent confident that this proportion exceeds .48, the historical proportion of customer delight for Bank of America?
What is the likelihood all four of the selected flights arrived within 15 minutes of the scheduled time?
Explain the results plot the original data and the fitted regression equations.
What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
How do we decide if the homogeneity of variance assumption is significantly violated?
Use the Chi-square test of independence with a .01 level of significance to determine whether appeal is independent from type.
Psychologists wanted to test whether a certain accelerated class' IQ was different than average. There were 25 students in the class; their mean IQ score was 108.
We want to test the hypothesis that population B has a smaller variance than population A.
Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
Further, 20 students get both questions 1 and 2 incorrect, 15 get both questions 2 and 3 incorrect, and 8 get both questions 1 and 3 incorrect, and 7 get all three questions incorrect. Find the probability that a randomly selected student: a) Gets..
Find out a linear equation in the form P = mt + b (y = mx + b) that gives the population, P, t years from 2010.
Differentiate between correlation and causation. What are the practical applications? How would it be used in the workplace?
A dataset has 1000 records and 50 variables with 5% of the values missing, spread randomly throughout the records and variables. An analysis decides to remove records that have missing values. About how many records would you expect would be remov..
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