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Improving driving performance while fatigued. Refer to the Human Factors (May, 2014) study of driving performance while fatigued, Exercise 9.31 (p. 521). Recall that the researchers had 40 college students drive a long distance in a simulator. While driving, each student performed a task. One group of student-drivers performed a verbal task continuously (continuous verbal condition); another group performed the task only at the end of the drive (late verbal condition); a third group did not perform the task at all (no verbal condition); and, the fourth group listened to a program on the car radio (radio show condition). The dependent variable of interest was the percentage of billboards recalled by the student-driver. The data are listed in the table on the next page.
- a. Write a model for mean recall percentage, E(y), as a
function of task group (continuous verbal, late verbal, no verbal, and radio show). Use radio show as the base level for the qualitative independent variable, task group. - b. Measures of
central tendency for the recall percentage measurements of each task group are displayed in the accompanying Minitab printout. Use this information to estimate the β parameters of the model, part a.
- c. Fit the model, part a, to the data in the file. Use the output to verify your 13 estimates in part b.
- d. d. Refer to the output, part c. Conduct a test (at α= .01) to determine if the mean recall percentage differs for student- drivers in the four groups. Your answer should agree with that of Exercise 9.31.
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Chapter 12 Solutions
STATISTICS F/BUS.+ECON-W/ACCESS>CUSTOM<
- I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardDATA TABLE VALUES Meal Price ($) 22.78 31.90 33.89 22.77 18.04 23.29 35.28 42.38 36.88 38.55 41.68 25.73 34.19 31.75 25.24 26.32 19.57 36.57 32.97 36.83 30.17 37.29 25.37 24.71 28.79 32.83 43.00 35.23 34.76 33.06 27.73 31.89 38.47 39.42 40.72 43.92 36.51 45.25 33.51 29.17 30.54 26.74 37.93arrow_forward
- I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardSales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 65 weekly reports showed a sample mean of 19.5 customer contacts per week. The sample standard deviation was 5.2. Provide 90% and 95% confidence intervals for the population mean number of weekly customer contacts for the sales personnel. 90% Confidence interval, to 2 decimals: ( , ) 95% Confidence interval, to 2 decimals:arrow_forwardA simple random sample of 40 items resulted in a sample mean of 25. The population standard deviation is 5. a. What is the standard error of the mean (to 2 decimals)? b. At 95% confidence, what is the margin of error (to 2 decimals)?arrow_forward
- mean trough level of the population to be 3.7 micrograms/mL. The researcher conducts a study among 93 newly diagnosed arthritis patients and finds the mean trough to be 4.1 micrograms/mL with a standard deviation of 2.4 micrograms/mL. The researcher wants to test at the 5% level of significance if the trough is different than previously reported or not. Z statistics will be used. Complete Step 5 of hypothesis testing: Conclusion. State whether or not you would reject the null hypothesis and why. Also interpret what this means (i.e. is the mean trough different from 3.7 or noarrow_forward30% of all college students major in STEM (Science, Technology, Engineering, and Math). If 48 college students are randomly selected, find the probability thata. Exactly 12 of them major in STEM. b. At most 17 of them major in STEM. c. At least 12 of them major in STEM. d. Between 9 and 13 (including 9 and 13) of them major in STEM.arrow_forward7% of all Americans live in poverty. If 40 Americans are randomly selected, find the probability thata. Exactly 4 of them live in poverty. b. At most 1 of them live in poverty. c. At least 1 of them live in poverty. d. Between 2 and 9 (including 2 and 9) of them live in poverty.arrow_forward
- 48% of all violent felons in the prison system are repeat offenders. If 40 violent felons are randomly selected, find the probability that a. Exactly 18 of them are repeat offenders. b. At most 18 of them are repeat offenders. c. At least 18 of them are repeat offenders. d. Between 17 and 21 (including 17 and 21) of them are repeat offenders.arrow_forwardConsider an MA(6) model with θ1 = 0.5, θ2 = −25, θ3 = 0.125, θ4 = −0.0625, θ5 = 0.03125, and θ6 = −0.015625. Find a much simpler model that has nearly the same ψ-weights.arrow_forwardLet {Yt} be an AR(2) process of the special form Yt = φ2Yt − 2 + et. Use first principles to find the range of values of φ2 for which the process is stationary.arrow_forward
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