To illustrate the effects of driving under the influence (DUI) of alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in anemergency was measured with unimpaired vision and also while wearing a pair of special goggles to simulate the effects of alcohol on vision. For a random sample ofnine teenagers, the time (in seconds) required to bring the vehicle to a stop from a speed of 60 miles per hour was recorded. Complete parts (a) and (b).Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.Click the icon to view the data table.(a) Whether the student had unimpaired vision or wore goggles first was randomly selected. Why is this a good idea in designing the experiment?A. This is a good idea in designing the experiment because it controls for any "learning" that may occur in using the simulator.B. This is a good idea in designing the experiment because reaction times are different.This is a good idea in designing the experiment because the sample size is not large enough.(b) Use a 95% confidence interval to test if there is a difference in braking time with impaired vision and normal vision where the differences are computed as "impairedminus normal."Data TableThe lower bound isThe upper bound is(Round to the nearest thousandth as needed.)Subject124579.Normal, X;4.474.244.584.654.314.804.555.004.79Impaired, Y¡ 5.775.675.515.325.835.495.235.635.63

Name: To illustrate the effects of driving under the influence (DUI) of alc
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Description: To illustrate the effects of driving under the influence (DUI) of alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in anemergency was measured with unimpaired vision and also while wearing a pair of spe

(b) The degrees of freedom is, df=n-1=9-1=8 Computation of critical value: The critical value of…

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(b) Use a 95% confidence interval to test if there is a difference in braking time with impaired vision and normal vision where the differences are computed as "impaired minus normal." Data Table The lower bound is The upper bound is (Round to the nearest thousandth as needed.) Subject 1 3 4 6 7 8 9 Normal, X 4.47 4.24 4.58 4.65 4.31 4.80 4.55 5.00 4.79 Impaired, Y 5.77 5.67 5.51 5.32 5.83 5.49 5.23 5.63 5.63

(b) Use a 95% confidence interval to test if there is a difference in braking time with impaired vision and normal vision where the differences are computed as "impaired minus normal." Data Table The lower bound is The upper bound is (Round to the nearest thousandth as needed.) Subject 1 3 4 6 7 8 9 Normal, X 4.47 4.24 4.58 4.65 4.31 4.80 4.55 5.00 4.79 Impaired, Y 5.77 5.67 5.51 5.32 5.83 5.49 5.23 5.63 5.63

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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Example 7 part 1
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Part 2: Test of Hypothesis for One and Two Means A study aims to determine the relationship of salt intake to the blood pressure of persons aged 15 years and over. The mean systolic blood pressure (SBP) of 20 subjects with a low salt diet was compared to that of an equal number of subjects with a high salt diet. With the given data, test the hypothesis that the mean SBP of subjects with high salt diets is significantly higher than those with low salt diets. High Salt Diet 140 mmHg 9.6 mmHg Low Salt Diet 135 mmHg 14.4 mmHg Mean SBP Std. dev. of SBP
The table below shows the scores against the number of hours spent on doing his/her homework for a student. # hours 7 0 27 50 28 29 20 12 6 17 Score 106 86 100 101 99 103 97 113 112 110 The correlation between the scores and the number of hours spent on doing homework is a. weak negative b. positive c. no correlation d. + 0.91 To confirm your result, you need to perform a hypotheses test at 5% level of significance to check if the score and the #hours are either directly or inversely related and therefore the tabulated value for this test is a. 0.648 b. 0.564 c. 0.447 d. 0.380 And then you decide that a. No significant association b. Reject c. Fail to Reject d. Not sure
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The data given below is the expected points for a football team with first down and 10 yards to go from various points on the field. In the given table x stands for the number of yards from the goal and y stands for the expected points. r = X y 5.454 5.184 25 4.702 35 3.716 45 2.612 55 2.878 65 1.778 75 0.994 85 0.792 95 -0.642 555 a) Use Desmos (watch Video if you need help) to find the equation of the least squares (regression) line. to find the coefficient of correlation. (Round to 4 decimal places as needed.) Y 15 Does there appear to be a linear correlation? O No, there is no linear correlation between the data points because r is not equal to 0. Yes, the data points show linear correlation because r is close to -1. Yes, the data points show linear correlation because r is close to 1. O No, there is no linear correlation between the data points because r is negative. b) The equation of the least squares line is (Round to 2 decimal places as needed.)
Review(42a): A researcher were conducted in the effect of outdoor activity on mood. She hypotthesized that spending time outdoor would increase mood. She recruited 10 participants for her study.She had each participant walk a 2km in the forest. Before and after the walk she had them rate their mood on a 5 point lukert scale with 1 very bad to 5 very good. The data is given below. Mode before Mode after 4 5 3 3 1 4 5 5 1 5 2 4 3 2 4 5 3…