wereClassified2. Pg, 36-7, 1.4.33. At the beginning of a Studyindividuals, 3% were Classified as heavySmokers, 25.1.Smokers, and 72% were classified asas lightIn the 5 year study, it was determined.that the death rates of the heavy and lightSmokers were6 and 3 times that ofnon smokers.non-ofSmokers, respectively. A randomly selectedParticipant died over the Syear period:Calculate the probability that the participantа nonsmorcer?was

25.1. were Pg. 36-7, 1. 4.33. At the beginning of a Study of individuals, 3% were Classified as heavy Smokers, Smokers, and 72% were classified as Classified as light In the 5 year study, it was determined. that the death rates of the heavy and light 6 and 3 times that of non smokers. Smokers were non- Smokers, respectively. A randomly selected Participant died over the Syear period: Calculated the probability that the participant non Smorcer? was

25.1. were Pg. 36-7, 1. 4.33. At the beginning of a Study of individuals, 3% were Classified as heavy Smokers, Smokers, and 72% were classified as Classified as light In the 5 year study, it was determined. that the death rates of the heavy and light 6 and 3 times that of non smokers. Smokers were non- Smokers, respectively. A randomly selected Participant died over the Syear period: Calculated the probability that the participant non Smorcer? was

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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ch 11 end. 7: In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)?
11.1.6
13. According to Wikipedia, as of November 30, 2019, 43.5% of registered voters in Mercer County are registered democrats (pm = 0.435), and 24.5% of registered voters in Hunterdon County are registered democrats (ph = 0.245). A researcher decides to take an SRS of 45 registered voters in Mercer County and an independent SRS of 45 registered voters in Hunterdon County to investigate, and is surprised when he gets a greater sample proportion of registered democrats in the Hunterdon County sample. Calculate and interpret the probability that the sample proportion of registered democrats in Hunterdon County is greater than the sample proportion of registered democrats in Mercer County. Be sure to show all of your work. (Note- - for those of you wondering why the percentages of registered democrats in the "blue" state of New Jersey are so low, many registered voters in New Jersey do not register with any particular political party)
Consider the following studies. Study I: A researcher randomly divided 200 high school students into two groups. The first group was told to not exercise. The second group was told to exercise at least 5 hours each week. At the end of two months, the heart rates of each participant in each group were measured at rest. It was found that the group that exercised 5 hours a week had a significantly lower average heart rate. Study II: A researcher gathered 200 high school students randomly, asked them how long they exercised each week, and then measured their heart rates at rest. It was found that students who exercised at least 5 hours a week had a significantly lower average heart rate. Part A: Which study was experimental? Why? Study IStudy II Part B: List the explanatory and response variables in the studies. Explanatory: heart rate; Response: exercise timeExplanatory: student; Response: amount of exerciseExplanatory: exercise time; Response: heart rate Part C: State whether the…
6.34. Cheating during a test. A national survey of high school students conducted by the Josephson Institute of Ethics was sent to 43,000 high school students, and 40,774 were returned. One question asked students if they had cheated during a test in the last school year.15 Of those who returned the survey, 14,028 responded that they had cheated at least two times in the last year. In Exercise 6.34, you examined the proportion of high school students who cheated on tests at least twice during the past year. Also available are results from other years. A reported 14,028 out of 40,774 students said they cheated at least twice in 2010. A reported 5794 out of 12,121 students said they cheated at least twice in 2002. Give an estimate of the difference between these two proportions with a 90% confidence interval.
5.28 Risks and insurance. The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. So we form a group to share the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down. An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is μ = $250 per house and that the standard deviation of the loss is σ = $1000. (The distribution of losses is extremely right-skewed: most people have $0 loss, but a few have large losses.) The company plans to sell fire insurance for $250 plus enough to cover its costs and profit. If the company sells 25,000 policies, what is the approximate probability that the average loss in a year will be greater than $270?
An experiment was conducted in order to determine if cerebral blood flow in human beings can be predicted from arterial oxygen tension (millimeters of mercury). Fifteen patients participated in the study, and the following data were collected: Blood Flow, Arterial Oxygen Tension, a Y 84.33 87.80 82.20 78.21 78.44 80.01 83.53 79.46 75.22 76.58 77.90 78.80 80.67 86.60 78.20 603.40 582.50 556.20 594.60 558.90 575.20 580.10 451.20 404.00 484.00 452.40 448.40 334.80 320.30 350.30 Estimate the "b" in the quadratic regression equation: y=a+bx+cx². Use 2 decimal places.
7.2.4
Needing help on part 3 and 4 of question 5.
Q2. A fast-food chain decided to carry out an experiment to assess the influence of advertising expenditure on sales. Different relative changes in advertising expenditure, compared to the previous year, were made in eight regions of the country, and resulting changes in sales levels were observed the accompanying table shows the results. Increase in advertising expenditure (%) 0 5 15 20 25 30 35 40 Increase in sales (%) 5 10 18 25 35 50 60 65 Determine the value of ∑X, ∑X2, ∑Y, ∑Y2, ∑XY. Where X represent independent variable and Y for dependent variable. [2] Determine and interpret the coefficient of correlation between the two variables. [1] Determine the value of regressions coefficients and write down the simple linear regression
1. A dog groomer is often asked if small dogs bark more than larger dogs. To test this, he logs the number of separate barking episodes per day for three size dogs: small, medium, and large. In a separate file you will find the number of barking episodes for 12 dogs. On average, small dogs barked the most Mean: 7.25 On average, medium sized dogs barked the least Mean: 2.75 A. Do the different size dogs bark a significantly different number of times? Test with an α = 0.05. B. If appropriate, use Tukey’s HSD post hoc test and report where the differences are. If inappropriate, state why. C. Calculate and interpret the effect size.
You may need to use the appropriate appendix table or technology to answer this question. Sheer industries is considering a new computer-assisted program to train maintenance employees to do machine repairs. In order to fully evaluate the program, the director of manufacturing requested an estimate of the population mean time required for maintenance employees to complete the computer assisted training. Use 7.94 days as a planning value for the population standard deviation. (Round your answers up to the nearest whole number.) (a) Assuming 95% confidence, what sample size would be required to obtain a margin of error of 0.5 days? (b) If the precision statement was made with 90% confidence, what sample size would be required to obtain a margin of error of 2 days? 1 Need Help? esc 1 Q A N Read It @ 2 2 W S BO X Watch It * # 3 E D E a C $ 4 D R F % 5 V ♫ T G < 6 A MacBook Pro Y B & 7 H W U D N * 00 8 J P D I - O M K & O O cricut L 萬 11 P V + 11 { [ 11 ?