Given a recent outbreak of illness caused by E. coli bacteria,the mayor in a large city is concerned that some of hisrestaurant inspectors are not consistent with their evaluationsof a restaurant's cleanliness. In order to investigate thispossibility, the mayor has five restaurant inspectors grade(scale of 0 to 100) the cleanliness of three restaurants. Theresults are shown in the accompanying table. Assume thatgrades are normally distributed. (You may find it useful toreference the g table.)Restaurant 1Restaurant 2RestauraInspector 1Inspector 2Inspector 3Inspector 4Inspector 57453857059877280715982735587picture Click here for the Excel Data Filea-1. Construct an ANOVA table. (Leave no cells blank. Round"SS' and "MS" to 2 decimal places, and "F" and "p-value" to3 decimal places.)979 55 55

There are two categorical samples which are Inspector and Restaurant. We have to construct ANOVA…

Answered: Given a recent outbreak of illness…

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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Below are four bivariate data sets and their scatter plots. (Note that all of the scatter plots are displayed with the same scale.) Each data set is made up of sample values drawn from a population. y II 1.0 8.1 2.0 7.0 1.0 3.9 10+ 10- 9- 2.0 5.5 8- 9- 8+ X 3.0 7.0 4.0 4.7 3.0 7.9 4.0 6.1 5.0 6.7 6.0 4.5 7.0 4.7 8.0 3.2 9.0 4.1 10.0 2.6 Figure 2 7- 6- 6- 5.0 5.1 6.0 8.0 7.0 5.4 8.0 6.9 3- 3- 2- 2- 9.0 8.7 10.0 7.9 Figure 1 1.0 3.0 2.0 4.3 3.0 3.7 4.0 5.0 5.0 4.5 6.0 7.4 7.0 6.0 8.0 7.9 9.0 6.6 10.0 8.3 Figure 3 1.0 7.7 2.0 4.6 3.0 10.0 4.0 5.9 10+ 10+ 9- 8+ 7- 6+ 6- 5- S- 5.0 1.8 4- 4- 6.0 5.2 7.0 9.2 8.0 3.3 9.0 9.2 10.0 6.6 Figure 4 3+ x 3- 2- 1- Answer the following questions about the relationships between pairs of variables and the values of 7, the sample correlation coefficient. The same response may be the correct answer for more than one question. |(a) Which data set indicates the strongest positive linear relationship between its two variables? ? (Choose one) (b) For which…
An experiment was designed to study oil additives that could reduce polluting the air. Two additives were considered in the study. The two additives X1 and X2 were controlled and the level of the pollution Y is observed. The data were as follows: Y X1 X2 3.9 1.5 2.2 7.5 1.5 4.5 4.4 1.7 2.2 8.7 1.8 4.4 9.6 5.5 4.3 8.5 5.5 4.5 Find the regression equation Is the model valid? Which independent variable is linearly related to Y?
Below are four bivariate data sets and their scatter plots. (Note that all of the scatter plots are displayed with the same scale.) Each data set is made up of sample values drawn from a population. Es 11- 1.0 1.0 10+ 10- 1.0 72 2.0 93 10- 2.0 2.0 94 3.0 3.0 X. 7- 3.0 7.1 4.0 59 5.0 8.2 4.0 4.0 6- 6- 5- 5.0 5.0 4 5- 6.0 6.0 3- 6.0 5.0 7.0 7.0 7.0 46 8.0 8.0 8.0 6.8 9.0 9.0 S 10 11 9.0 6.2 A 10.0 10.0 Figure 1 10.0 3.7 Figure 2 m 11+ 1.0 2.9 10+ 1.0 8.0 10 9- 2.0 4.2 2.0 4.8 B+ 3.0 3.3 3.0 10.0 4.0 4.6 4.0 6.0 d- 5.0 2.3 5.0 4.6 6.0 7.0 6.0 4.7 7.0 93 8.0 3.7 2+ 7.0 5.6 8.0 7.6 9.0 7.3 7 8910 11 9 10 11 9.0 9.5 10.0 7.1 Figure 4 10.0 7.8 Figure 3 Answer the following questions. The same response may be the correct answer for more than one question. (a) Which data set indicates the strongest negative linear relationship between its two variables? the x, y data set Syhich dntacot hac anannaront. nocitivo h not orfoct linoar rolationchin Privacy Center Accessiblity Explanation Check O2021…
Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x & y. The second compares the variables w & y 00⁰0 889 Which explanatory variable has a stronger relationship with the response variable y? The first variable (x) has a stronger relationship with the response variable y. The second variable (w) has a stronger relationship with the response variable y.
igure 3 Answer the following questions about the relationships between pairs of variables and the values of r, the sample correlation coefficient. The same response may be the correct answer for more than one question. 10.0 8.0 Figure 4 (a) For which data set is the sample correlation coefficient r closest to 0? the , f data set V (b) Which data set indicates the strongest negative linear relationship between its two variables? the x, y data set (c) For which data set is the sample correlation coefficient requal to - 1? none of the data sets ▼ (d) Which data set has an apparent positive, but not perfect, linear relationship between its two variables? the m, n data set
Given the weekly price and quantity (Qx and (Px) data for Andy’s ice cream over the past 12 weeks and the price of another ice-cream flavor (Po) as: Qx 84 82 85 83 82 84 87 81 82 79 82 78 Px 8.50 9.00 8.75 9.25 9.50 9.25 8.25 10.00 10.00 10.50 9.50 10.25 Po 5.25 6.00 6.00 6.50 6.25 6.25 5.25 7.00 7.25 7.25 6.75 7.25 a. Use excel regression to estimate the weekly demand for Andy’s ice-cream (attach the output of the regression estimate (Hint: Use regression in excel to find the estimated demand function: Enter the data in excel, click on Data Analysis, and use the regression command). b. Are the coefficients on the two prices statistically significantly different from zero at the 5% significance level? How do you know? c. What the R2? d. Explain what R2 means.
The following data represents the winning percentage (the number of wins out of 162 games in a season) as well as the teams Earned Run Average, or ERA.The ERA is a pitching statistic. The lower the ERA, the less runs an opponent will score per game. Smaller ERA's reflect (i) a good pitching staff and (ii) a good team defense. You are to investigate the relationship between a team's winning percentage - Y, and its Earned Run Average (ERA) - X. Winning Proportion - Y Earned Run Average (ERA) - X 0.623457 3.13 0.512346 3.97 0.635802 3.68 0.604938 3.92 0.518519 4.00 0.580247 4.12 0.413580 4.29 0.407407 4.62 0.462963 3.89 0.450617 5.20 0.487654 4.36 0.456790 4.91 0.574047 3.75 (b) Use R-Studio to find the least squares estimate of the linear model that expressed a teams winning percentage as a linear function of is ERA. Use four decimals in each of your answers.Y^i = ? + - Xi(e) A certain professional baseball team had an earned run average of 3.45 this past…
A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data table, the distribution shows the proportion of fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2061 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. (a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all riders? Use α = 0.05 level of significance. What are the null and alternative hypotheses? O A. Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H₁: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. B. Ho: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. H₁: The…
The organization of the Girl Scouts has completed its annual cookie drive. The sales are reported in the accompanying ogive. Approximate the percentage of girls who sold more than 70 boxes of cookies.
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A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 3.8 (s = 4.8) for the 143 females and 2.3 (s = 2.8) for the 171 males. Complete parts a through c below. ... (Round to four decimal places as needed.) What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x2- OB. The standard error is the standard deviation of the sample for this study. OC. The standard error is the difference in standard deviations for the two populations. OD. The standard error is the standard deviation of the difference between x₁ - x₂- b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is…
A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 4.2 (s = 5.4) for the 149 females and 2.8 (s=4.2) for the 190 males. Complete parts a through c below. 000 DOD F4 What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x₂. B. The standard error is the standard deviation of the difference between x₁ - x₂. OC. The standard error is the standard deviation of the sample for this study. OD. The standard error is the difference in standard deviations for the two populations. ... b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is (Round to two decimal places as…

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