7. The Insurance Institute for Highway Safety regularly conducts studies to increase public safety on the country'shighways. One important study that happens every year is the measure of stopping distance (in feet) from 60miles an hour (including reaction time). The data for 50 mid-sized sedans is given below.239251292287264209279229225231224258255269259219249206263278249243130256312254240272273228300265290223286263295252232239244284270210316278232247235191a) Create a histogram of the data provided above.(Use the scale: 100 -150, 150 -200, 200-250, ....to create your table for graphing)b) Describe its main features.:Shape:Peaks:Center:Spread:Outlier:(c) Which numerical summary would you choose for these data? Calculate your chosen summary. How does it reflectthe skewness of the distribution?

The frequency distribution table is given below: Class frequency 120-139 1 180-199 1…

Answered: 7. The Insurance Institute for Highway…

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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f) At the 0.05 level of significance test the claim "There is a significant linear correlation between class size (x), and achievement test scores (y).
The school cafeteria collects data on students’ juice box selections. What type of data are these? 1.categorical, nominal data 2.numerical, discrete data 3.categorical, ordinal data 4.numerical, continuous data
Refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use?
What is the relationship between the average income and the level of education in a given population, and how does this relationship vary across different regions and demographic groups?
In marketing children’s products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist among advertisements for different types of products. A number of children under 10 years of age are asked to watch one 60-second commercial for one of three types of products, and their attention spans are measured in seconds. The results are shown in the accompanying table: Type of Product Advertised Toys/Games Food/Candy Children’s Clothing 42 55 30 45 58 35 48 52 42 40 60 32 50 57 38 b). What type of error is possible and describe this error in terms of the problem.
The caloric content (in calories) and sodium content (in mg) were collected for 27 beef hotdogs. The data are in the table below. X, caloric content Y, sodium content 141 386 153 401 139 322 135 298 157 440 149 319 184 482 140 326 185 486 187 499 186 495 175 479 191 591 159 374 111 300 149 379 190 587 177 429 176 425 190 645 131 317 148 375 132 253 182 481 176 483 181 477 149 322
The caloric content (in calories) and sodium content (in mg) were collected for 27 beef hotdogs. The data are in the table below. X, caloric content Y, sodium content 157 440 149 322 187 499 149 379 190 587 175 479 185 486 190 645 148 375 150 326 182 481 135 298 132 253 176 483 158 370 191 591 186 495 159 374 177 429 152 330 111 300 149 319 176 425 184 482 139 322 140 326 131 317
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?
refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. 10) Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use? Strongest: Weakest:
Suppose you are interested in the population of all college students in the US and that you collect data from all students from FIT. Is the following a parameter or statistic? The proportion of your school's students who are Business Majors a. parameter b. statistic
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows. Occupied Rooms Total Rooms Ho: P₁ P₂ #0 Ha: P1 - P2 = 0 Current Year Previous Year Ho: P1 - P2 = 0 Ha: P₁ P₂ #0 Ho: P₁ Ha: P₁ (a) Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p₁ rooms occupied for current year and = P2 population proportion of rooms occupied for previous year.) - Ho: P₁ Ha: P₁ P₂ 0 1,750 1,440 1,800 = population proportion of

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