(a)(b)Do these data provide sufficient evidence to indicate at the 5% significance levelthat the three models are not equally preferred? State the hypotheses, perform theappropriate test with R, report the observed test statistic, make a statisticaldecision, and draw the implied conclusion. Provide both code and printout from R.(C)What is the variable of interest? Is it qualitative or quantitative? If it is qualitative,is it ranked or unranked? If it is quantitative, is it discrete or continuous? What isits level of measurement? What is the experimental design? Explain your answers.(d)Calculate the test statistic manually for the test you performed with R in part (b).Does your test statistic match the one reported by R?What are the requirements of the test you performed in parts (b) and (c)? Are theysatisfied this time, or do you have to assume that they are met? Provide evidenceto support these conclusions. Suppose the HR manager of a company is interested in determining whether there is adifference in employee satisfaction across three different office locations. Theyrandomly select 20 employees and ask each employee to rate their satisfaction witheach office location on a scale of 1 (very dissatisfied) to 5 (very satisfied). The data arepresented below:EmployeeHNM st in 678012345891011Office LocationLocation Location LocationBс435N & MINN24352412 13 14 15 16 17 18 19 20MINN MINN453452332L435243m st43WNS WANUAWN SE523452435233MNAMIN NAMIN INI Min min2435243525432425354

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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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For the following pairs of data points (10, 100), (8, 120), (5, 200), (4, 200), (10, 90), (7, 110), and (6, 150), the value of b, is O A. 18.2174 O B. -18.2174 O C. -81.2147 O D. 18.2174
Which of the following is not a common data source? A. Customer Surveys B. Social Media Platforms C. Website Traffic Logs D. Key Performance Indicators (KPIs)
Consider the following data representing the price of laptop computers (in dollars). 1365, 1240, 1371, 1052, 1238, 1293, 1043, 1393, 1416, 1035, 1092, 1428, 1288, 1175, 1098, 1083, 1313, 1300, 1060, 1120, 1116 Class 1027-1096 1097-1166 1167-1236 1237-1306 1307-1376 1377-1446 Frequency Price of Laptop Computers (in Dollars) Class Boundaries Midpoint Relative Frequency Step 3 of 7: Determine the lower class boundary for the fifth class. Copy Data Cumulative Frequency
A researcher wanted to know whether the level of frustration over high gas prices differed for different types of vehicle owners. Following a sharp increase in the price of gas, the researcher asked 30 people to indicate their level of frustration with prices at the pump (frustration scores ranged from 1 to 10, with higher scores indicating greater frustration). Ten people were surveyed who owned a motorcycle as their primary means of transportation (coded a 1 in the data file 1), 10 were surveyed who owned a hybrid vehicle (coded a 2 in the data file 1), and 10 were surveyed who owned a non-hybrid vehicle (coded a 3 in the data file Exam 3). a.State the null and alternative hypotheses. b. State a research question for the data.
For an article in a magazine, 20 different vehicles were selected to obtain data for comparison. From each vehicle the price in dollars, the fuel economy (in miles per gallon), the number of doors, the type of vehicle (car, truck, SUV, other), and if it had all wheel drive or not. a. What are the cases? b. List the variables and identify them as quantitative or categorical.
Assume you are working as a statistician for the automotive company Ford. Ford's three most popular cars are the Escape (SUV), the Focus (midsize sedan), and the Fusion (hybrid sedan). Your boss is putting together next year's production numbers and asks you to determine if any of the three models are selling better or worse than the other two. You have the sales numbers from one month of sales: the Escape sold 22,274, the Focus sold 21,385, and the Fusion sold 20,808.1 Perform the necessary test to determine if sales are significantly different and report the conclusion(s) of interest to your boss. 1Sales from The Wall Street Journal for June 2011. Calculate the chi-square test statistic and the p-value. Round your answer for the chi-square statistic to the nearest integer, and your answer for the p-value to three decimal places. i p-value = Is the evidence strong enough from this one month to conclude that sales are significantly different between the three models?
To test whether the studded tire reduces the average braking distance compared to normal tires, the following experiment was performed. Six cars were used and the braking distance was measured with standard tires and studded tires. Other variables such as speed, road condition, etc. was the same in all experiments. The data can be seen below. Car number Ordinary tires Studded tires 1 73 71 2 79 73 3 64 63 4 55 57 5 72 72 6 70 69 The braking distance can be assumed to follow a normal distribution.owner for this data to test the hypothesis that studded tires reduce the average braking distance compared to normal tires. Use α = 0.05. Present the hypotheses, examine the hypothesis with the appropriate test size and briefly describe your result in words. The following R code may facilitate the calculation: > regular <-c (73,79,64,55,72,70)> nagla <-c (71,73,63,57,72,69)> mean[1] 68,83333> mean (nail)[1] 67.5> sd (normal)[1] 8.328665> sd (nail)[1]…
A researcher would like to know whether there is a consistent, predictable relationship between ACT scores and GPA for high school students. A sample of 100 students is obtained from students who took the ACT in their Junior year. Based on the test results and gpa scores, students are classified as high or low for ACT and for GPA. The results are summarized in the following frequency distribution: ACT Score High Low High GPA 39 21 Low GPA 15 25 Based on the data, is there a significant relationship between ACT scores and GPA (α = .05). Compute the appropriate measure of association.
For which of the following sets of data should a stacked bar chart be used? The average height of men vs. the average height of women The number of red cars vs. the number of red bicycles The total number of movies watched categorized by science fiction vs. non-science fiction The average age of surfers vs. the average age of scuba divers
Consider the following data representing the price of plasma televisions (in dollars). 1260, 1355, 1156, 1297, 1054, 1225, 1375, 1244, 1281, 1138, 1368, 1075, 1373, 1126, 1067, 1285, 1119, 1209, 1150, 1208, 1284 Class 1034-1093 1094-1153 1154-1213 1214-1273 1274-1333 1334-1393 Frequency Price of Plasma Televisions (in Dollars) Class Boundaries Midpoint Step 5 of 7: Identify the midpoint of the fourth class. Relative Frequency Copy Data Cumulative Frequency
Refer to the following data set. Data for Eight Phones Brand AT&T AT&T Uniden Panasonic 4773B Uniden Model Panasonic 6592T Vtech CL84100 Vtech TL92271 D2997 D1788 DS6521 CS6649 Price ($) 70 70 100 60 35 70 70 60 Overall Score 73 (b) What is the average talk time for the phones? hours 70 78 72 70 73 72 72 Voice Quality Excellent Very Good Very Good Very Good Very Good Very Good Excellent Very Good Talk Time (Hours) (c) What percentage of the phones have a voice quality of very good? % 7 7 13 13 10 7 7 (a) What is the average price for the phones? (Round your answer to the nearest cent.) $ 7
Create a scatterplot using this data: Long-Term Assets Long-Term Debt 26 16 39 20 45 24 47 26 47 30 48 36 54 38 56 43 60 46 62 42 64 38 69 48 Evaluate the scatterplot and choose the best descriptor of the evaluation. no relationship insufficient information positive negative

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