The shares of the U.S. automobile market held in 1990 by General Motors, Japanese manufacturers, Ford, Chrysler, and othermanufacturers were, respectively, 34%, 27%, 18%, 13%, and 8%. Suppose that a new survey of 1,000 new-car buyers shows thefollowing purchase frequencies:GM390Japanese Ford Chrysler19224181picture Click here for the Excel Data File(a) Show that it is appropriate to carry out a chi-square test using these data.Each expected value isx^2Other96(b) Determine whether the current market shares differ from those of 1990. Use a = .05. (Round your answer to 3 decimal places.)Do not rejectRejectHO. Conclude current market sharesfrom those of 1990.

A new survey of 1000 new-car buyers shows the following purchase frequencies:- Car Frequency (f)…

Answered: The shares of the U.S. automobile…

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 question 11.5
The shares of the U.S. automobile market held in 1990 by General Motors, Japanese manufacturers, Ford, Chrysler, and other manufacturers were, respectively, 36%, 26%, 21%, 9%, and 8%. Suppose that a new survey of 1,000 new-car buyers shows the following purchase frequencies: GM Japanese Ford Chrysler Other 193 384 170 90 163 Click here for the Excel Data File (a) Show that it is appropriate to carry out a chi-square test using these data. (b) Determine whether the current market shares differ from those of 1990. Use α = .05. (Round your answer to 3 decimal places.)
The following table presents prices, in thousands of dollars, of single-family homes for 20 of the largest metropolitan areas in the United States for the first quarter of 2012 and the first quarter of 2013. . Metro Area 2012 2013 Boston, MA 311.5 332.2 Chicago, IL 157.2 159.4 Cincinnati, OH 112.5 121.0 Cleveland, OH 84.9 101.0 Dallas, TX 148.2 160.4 Denver, CO 226.4 261.2 Houston, TX 152.1 163.7 Los Angeles, CA 122.1 155.1 Miami, FL 182.0 219.9 Minneapolis, MN 147.3 170.6 Metro Area 2012 2013 New York, NY 363.8 368.2 Philadelphia, PA 193.5 197.7 Phoenix, AZ 129.9 169.0 Portland, OR 208.6 246.5 Riverside, CA 174.3 216.7 St. Louis, MO 103.7 111.0 San Diego, CA 359.5 412.3 San Francisco, CA 448.0…
A report stated that based on observing a large number of vehicle occupants, the estimated percentage of drivers and passengers in a certain country who wear seatbelts is 85.7%. The report also gave information on seat belt use by sex and by whether the vehicle is traveling in an urban or rural area. The information in the following table is consistent with summary values given in the report. Seat belt No Seat belt Urban Areas Male Female 851 119 908 62 Rural Areas Male Female 750 220 817 153 Assume that these data are representative of drivers and passengers in the country. Consider the following conclusion. Females are more likely to wear seat belts than males in both urban and rural areas. The difference in the percentage of females and the percentage of males who wear seat belts is greater for rural areas than for urban areas. Provide a justification for this conclusion. Use the information in the table to calculate relevant probabilities. The differences in the proportions for…
What is the mode, if any, for the dataset of 99;40;59;55;77;59;75;69;69;92;60;58;75;83?
Suppose that a polling company surveyed 600 people about how much time they spend watching television each day. The results of this survey were compiled and used to create this relative frequency histogram. Assume that all percentages shown in the histogram are whole numbers. Each of the bars in this histogram includes only the left endpoint of the class except for the last bar, which also includes the right endpoint. What percentage of respondents said that they watch television at least six hours per day? How many respondents said that they watch television between three and five hours per day?
A marketing firm is doing research for an internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per morith on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 18-24 years and 25-30 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on internet purchases by people in the 18-24 age bracket and Population 2 be the amount of money spent per month on internet purchases by people in the 25-30 age bracket. Assume that the population variances are not the same. Internet Spending per Month 18-24 Years Answer Mean Amount Spent Standard Deviation Sample Size Step 1 of 2: Construct a 99 % confidence interval for the true difference between the mean amounts of money per month that people in these two age groups spend on Internet purchases. Round the…
Consider the following data representing the price of refrigerators (in dollars). 1260, 1446, 1106, 1269, 1443, 1424, 1118, 1132, 1177, 1115, 1156, 1262, 1215, 1236, 1243, 1169, 1437, 1191, 1401, 1439, 1365 Answer Class 1093-1152 1153-1212 1213-1272 1273-1332 1333-1392 1393-1452 Price of Refrigerators (in Dollars) Frequency Relative Frequency Cumulative Frequency Step 3 of 4: Calculate the relative frequency of the sixth class. Determine your answer as a simplified fraction. Tables Keybe Previous
Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of cars each of the cars types. The data below displays the frontal crash test performance percentages. Test whether there are statistical differences in the frontal crash test performance for each type of car. Car Sizes Compact Cars Midsize Cars Full-Size Cars 95 95 93 98 98 97 87 98 92 99 89 92 99 94 84 94 88 87 99 93 88 98 99 89 What conclusions can we draw from the follow-up t-tests? There is/are a total of ______ statistically significant difference(s) between car type pairs out of the follow-up t-tests. Options: a) 1 b) 2 c) 3 d) 4 e) 5 f) 6
Consider the following data representing the price of refrigerators (in dollars). 1260, 1446, 1106, 1269, 1443, 1424, 1118, 1132, 1177, 1115, 1156, 1262, 1215, 1236, 1243, 1169, 1437, 1191, 1401, 1439, 1365 Answer Class 1093-1152 1153-1212 1213-1272 1273-1332 1333-1392 1393-1452 Step 2 of 4: Determine the frequency of the first class. Price of Refrigerators (in Dollars) Frequency Relative Frequency Cumulative Frequency Tables
A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area. Historically, 15% of purchases were for condominiums, 30% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land. With changing demographics, the agency wondered if the current distribution matches the historical distribution. Recent data showed the following: Type of Property Condos Townhouses Homes Commercial Land Frequency 89 121 78 25 12 Based on the historical distribution, we would expect how many homes to be purchased? Question content area bottom Part 1 A. 130 B. 121 C. 129.95 D. 122.54 E. 100
An Internet retailer would like to investigate the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The table to the right shows the data from a random sample of

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