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Q1. Explain the difference between multiple independent variables and multiple levels of independent variables. Which is better?
Q2. What is blocking and how does it reduce "noise"? What is a disadvantage of blocking?
Q3. What is a factor? How can the use of factors benefit a design?
Q4. Explain main effects and interaction effects.
Q5. How does a covariate reduce noise?
Q6. Describe and explain three trades-offs present in experiments.
What critical value t* from table D should be used to calculate the margin of error for a confidence interval for the mean of the population in each of the following situations?
Develop a p chart with 3-sigma control limits and evaluate whether the process is in statistical control
Suppose that Total Revenue = 200Q and Total Cost = 80 + 50Q where Q, the quantity sold, is a random variable with expected value 20 and variance 4.
Stratum 2 contains 500 invoices, stratum 1,000 invoices, and stratum 4 contains 3,450 invoices. A sample of 500 sales invoices is needed. What type of sampling should you do? Why?
Suppose Abraham Lincoln had answered a survey questionnaire in which he indicated that he had not received a grade school diploma. The researcher found that Lincoln's educational score did not correlate with the expected variables. What was wrong?
A brief narrative discussion explaining the logi stic model, how you perform the analysis and come up with the final decisions and recommendations. Justifications to yourrecommendations are also welcome.
Use the .05 level. (a) Use the steps of hypothesis testing, (b) figure the effect size for the study; and (c) explain your answers to (a) and (b) to someone who has never had a course in statistics.
A five-star hotel accepts 100 room reservations daily. For each reservation accepted, there is a 7% chance that the guest will not arrive.
a basketball team at a university is composed of ten players. the team is made up of players who playthe position of
The heights in inches of 18 randomly selected adult males in LA are listed as: 70, 69, 72, 57, 70, 66, 69, 73, 80, 68, 71, 68, 72, 67, 58, 74, 81, 72. Display the data in a stem-and-leaf plot.
suppose the prelliminary results were as follows group 1 n=310,p=32 and group 2 n=309,p=20 construct a 95% confidence interval for the difference in proportions of patients with new hair growth for the two groups using the given data.
Is there evidence of difference in mean life of bulbs produced by the two kinds of machines. What is your conclusion?
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