In 2011 the U.S. Department of Transportation reported with 95% confidence that the average length of a motor vehicle trip in the United States was 9.72 miles with a margin or error of 0.22 miles. With 95% confidence the authors of the report are claiming that the true average length of a motor vehicle trip in the United States is between and miles. The level of confidence for this estimate is Check Answer

In 2011 the U.S. Department of Transportation reported with 95% confidence that the average length of a motor vehicle trip in the United States was 9.72 miles with a margin or error of 0.22 miles. With 95% confidence the authors of the report are claiming that the true average length of a motor vehicle trip in the United States is between and miles. The level of confidence for this estimate is Check Answer

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Description: In 2011 the U.S. Department of Transportation reported with 95% confidence that the averagelength of a motor vehicle trip in the United States was 9.72 miles with a margin or error of 0.22miles.With 95% confidence the authors of the report are claim

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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Please answer Part b,c,d correctly d) Explain in context what your interval means. Select the correct choice below. A. 95% of all bags of tortilla chips will have a mean weight that falls within the interval. B. 95% of the weights of the bags of tortilla chips will be contained in the interval. C. The interval contains the true mean weight of the contents of a bag of tortilla chips 95% of the time D. We are 95% confident that the interval contains the true mean weight of the contents of a bag of tortilla chips
Please solve a, b, and c. Note: Please explain and show steps for solutions especially for part c.
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In a data set with 25 scores, if the value 16 occurs 12 times, what is its relative frequency?
A researcher thinks that watching violent televisions increases aggressive behavior in children. To test this hypothesis, she randomly assigns 48 children into one of 3 groups (no violent TV, a little violent TV, or a lot of violent TV) and observes their playground behavior for three weeks and measures it for violence and intensity. For the variable “amount of TV” (as it appears in this problem), what is the scale of measurement? a. nominal b. ordinal c. interval d. ratio A researcher thinks that watching violent televisions increases aggressive behavior in children. To test this hypothesis, she randomly assigns 48 children into one of 3 groups (no violent TV, a little violent TV, or a lot of violent TV) and observes their playground behavior for three weeks and measures it for violence and intensity. If the researcher’s hypothesis is correct, which of the following conclusions could be drawn? a. Fail to reject the null, watching violent TV does not increase…
Fitting a straight line to a set of data yields the following prediction line. Complete (a) through (c) below. Yi=2+8Xi a. Interpret the meaning of the Y-intercept, b0. Choose the correct answer below. A. The Y-intercept, b0=8, implies that when the value of X is 0, the mean value of Y is 8. B. The Y-intercept, b0=2, implies that for each increase of 1 unit in X, the value of Y is expected to increase by 2 units. C. The Y-intercept, b0=2, implies that the average value of Y is 2. D. The Y-intercept, b0=2, implies that when the value of X is 0, the mean value of Y is 2. b. Interpret the meaning of the slope, b1. Choose the correct answer below. A. The slope, b1=8, implies that for each increase of 1 unit in X, the value of Y is expected to increase by 8 units. B. The slope, b1=8, implies that for each increase of 1 unit in X, the value of Y is expected to decrease by 8 units. C. The slope, b1=8,…
A student pursuing a degree in English as a second language believes the proportion female factory workers who can't speak English is less than the proportion of male factory workers who can't speak English. To test her claim she randomly selects 373 female factory workers and out of them 43 could not speak English. She then randomly selects 215 male factory workers and out of them 65 could not speak English. Test her claim at .=0.05 to see if she was right. The correct hypotheses are: H : PF Pu (claim) H : PF 2 PM HA: PF < Pr (claim) H : PF = PM HA: PF + PM (claim) Since the level of signficance s0.05 the critical value is-1.64s The test statistic is pound to 3 places) The pvalue is round to 3 places) The decision can be made to oreject H, odo not reject í, The final conclusion is that: There is enough evidence to reject the claim that the proportion female factory workers who can't speak English is less than the proportion of male factory workers who can't speak English. There is…