12.8 Each observation in a random sample of 100 bi-cycle accidents resulting in death was classified accordingto the day of the week on which the accident occurred.Data consistent with information given on the web sitewww.highwaysafety.com are given in the following tableDay of WeekSundayMondayTuesdayWednesdayThursdayFridaySaturdayFrequency14131215141715Based on these data, is it reasonable to conclude that theproportion of accidents is not the same for all days of theweek? Use a = .05.• Provide a detailed null and alternate hypotheses (equations AND complete sentences).•.Calculate the test statistic•Neatly draw the diagram showing the critical zone and non-critical zone, and relevantcritical test statistic and actual test statisticClearly write a conclusion at the 5% significance level.

The data is given on the cycle of accident death for 7 days. No. of days (n) = 7 Level of…

Answered: Based on these data, is it reasonable…

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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What provides a measure of the variance caused by random, unsystematic differences? a. the error term b. the F ratio c. MS d. SStotal
Arsenic is toxic to humans and people can be exposed to it through contaminated drinking water, food, dust, and soil. Scientists have devised a non-invasive way to measure a person's level of arsenic poisoning: by examining toenail clippings. In a recent study, scientists measure the level of arsenic (in mg/kg) in toenail clippings of 8 people who lived near a former arsenic mine in Great Britain. The following levels are recorded. 0.8, 1.9, 2.7, 3.4, 3.9, 7.1, 11.9, 26.0 Below are the summary statistics of the data. min Q1 median Q3 max sd n mean 0.8 2.5 3.65 8.3 26 7.2125 8.368041 8 Suppose the 8 people examined were randomly sampled from residents near the former arsenic mine. Is it legitimate to construct a 95% confidence interval for the mean level of arsenic (in mg/kg) in toenail clippings for residents near the former arsenic mine using a t-distribution? Explain briefly.
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The authors of a paper were interested in how the distance a deer mouse will travel for food is related to the distance from the food to the nearest pile of debris. Distances were measured in meters. The data and computer output are given below. Distance from Debris Distance Traveled 6.94 0.00 5.23 6.13 5.21 11.29 7.10 14.35 8.16 12.03 5.50 22.72 9.19 20.11 9.05 26.16 9.36 30.65 Simple Linear Regression Results: Dependent Variable: Traveled Independent Variable: Debris Sample size: 9 R (correlation coefficient) = 0.5657 R-sq = 0.32002088 Estimate of error standard deviation 8.670711 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Intercept -7.6854587 13.332196 ≠ 0 7 -0.5764586 0.5824 Slope 3.2340908 1.7818117 ≠ 0 7 1.8150575 0.1124 a)What is the least squares regression line for the output given above? b) what is the predicted traveled distance given the distance from debris is 6.5 meters?
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Based on these data, is it reasonable to conclude that the proportion of accidents is not the same for all days of the week? Use a = .05.