1. The U.S. is divided into four census regions: Northeast (Region=1), Midwest (Region=2), South(Region=3), and West (Region-4). The 2012 Current Population Survey, conducted by the U.S. CensusBureau, asked a sample of n = 132,747 households how many computers they own. Here are the samplemeans from SPSS.Region1234MeanComputers1.701.581.491.68Does mean household computer ownership differ across those four regions?a) Specify the null and alternative hypotheses for an ANOVA test.N26711309104124533881b) In the following SPSS output, circle the test statistic.Between GroupsWithin GroupsTotalSum of Squares1017.029143453.994144471.023ANOVAdf3132743132746Mean Square339.0101.081c) Circle your conclusion: Reject Ho/Do not reject HoF313.697Sig..000

Region Mean N 1 1.70 26711 2 1.58 30910 3 1.49 41245 4 1.68 33881

Answered: 1. The U.S. is divided into four census…

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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1. Sample data about the listing price of a house is collected from Surrey, Guilford area in 2022 and the data is given below. Using the data answer the following questions: N 1 2 3 4 5 Listing Price 1049900 11 1229000 1049900 12 1230000 1050000 13 1075000 14 1298999 1299000 1299000 1075000 15 16 1398000 1078800 1179000 17 18 1398000 1399000 1188000 1188000 19 1449900 1225000 20 1450000 a. What is the mean listing price of a home? b. Generate appropriate numerical summaries for the listing price of a home, the sample standard deviation, etc. 6 7 8 9 10 Listing Price N Listing Price 21 1450000 22 1450000 23 1469900 24 1475000 25 1475000 26 1480000 1499000 27 28 1499000 29 1499233 30 1499900 N C. Use these summaries to develop a 95% confidence interval to estimate the mean listing price of a house in your selected city. That is, you will be using the sampling data you collected to estimate the population parameter (listing price). Make sure to show both your calculations and a final…
6. Construct a stem-and-leaf for the data with a 1-digit stem, leaves do NOT need to be in order. 644, 581, 431, 644, 820, 773, 899, 417, 858
1. Explain the difference between z-tests (which use categorical data), and t-tests (which use numerical data). 2. Conduct a t-test, both when given statistics, and when given data. 3. Conduct a t-test, 2-sample t-test, and paired t-test. 4. Differentiate between the five types of tests we have learned so far.
5
In 1998, as an advertising campaign, the Nabisco Company announced a "1000 Chips Challenge," claiming that every 18-ounce bag of their Chips Ahoy! cookies contained at least 1000 chocolate chips. Dedicated statistics students at the Air Force Academy (no kidding) purchased some randomly selected bags of cookies and counted the chocolate chips. Some of their data are given below. Complete parts (a) through (c) below. 1270 1244 a) Check the assumptions and conditions for inference. Check the data for independence. Choose the correct answer below. A. 0+ 900 1356 1132 Chips 1600 OA. The sample is less than 10% of the population, so one can assume that the data are independent. B. The data are from a random sample, so one can assume that they are independent. OC. The data are from a random sample, so one can assume that they are not independent. OD. The sample is less than 10% of the population, so one can assume that the data are not independent. Construct a histogram of the data. Choose…
SIS Travel Agency, a nation wide local travel agency, offers special rates on summer perlod. The owner wants additional information on the ages of those people taking travel tours. A random sample of 50 customers taking travel tours last summer revealed these ages. 18 29 37 42 47 49 53 57 61 67 19 31 38 44 48 50 54 58 62 68 24 34 39 45 48 51 54 58 63 70 27 36 39 46 48 51 55 59 64 74 28 36 40 46 49 52 56 60 66 77 B. Determine the P15, P22, , P55, P77 of the frequency distribution and construct the graph.
18. A poll was taken of 14,056 working adults aged 40-70 to determine their level of education. The participants were classified by sex and by level of education. The results were as follows. Male Female Total Education Level High School or Less Bachelor's Degree 3141 2434 5575 3619 3761 7380 472 Master's Degree 534 52 43 7346 6710 14,056 1006 95 Ph.D. Total A person is selected at random. Compute the following probabilities: (d) The probability that the selected person is male, given he has a Master's degree (e) The probability that the selected person does not have a Master's degree, given it is a male (f) The probability that the selected person is female, given that she has a Bachelor's degree (g) The probability that the selected person has a Ph.D, given it is a female
3. The director of library services at Fairmont College did a survey of types of books (by subject) in the circulation library. Then she used library records to take a random sample of 4217 books checked out last term and classified the books in the sample by subject. The results are shown below. Subject Area % Books in Circ Library on this Subject No. of Books in the Sample on this Subject Business 32% 1210 Humanities 25% 956 Natural Science 20% 940 Social Science 15% 814 Other Subject 8% 297 Using a 5% level of significance, test the claim that the subject distribution of books in the library fits the distribution of books checked out by students.
Find the mode of the following number of states randomly selected travelers at a service plaza visited in the past three years. 18,13,8,8,13,10,13,10,9,18.
3. The following data are the number of burglaries reported for a specific year for fifteen Metro Manila universities: 30, 18, 3, 7, 61, 11, 1, 3, 2, 12, 15, 11, 13, 14, 11 a. Mean b. Median c. Mode
11. The city council of Pine Bluffs is considering increasing the number of police in an effort to reduce crime. Before making a final decision, the council asks the Chief of Police to survey other cities of similar size to determine the relationship between the number of police and the number of crimes reported. The Chief gathered the following sample information. City Police Number of Crimes Oxford 15 17 Starkville 17 13 Danville 25 Athens 27 Holgate 17 Carey 12 21 Whistler 11 19 Woodville 22 6. a. If we want to estimate crimes based on the number of police, which variable is the dependent variable, and which is the independent variable? According to the regression output shown below: . reg y x Source df MS Number of obs - 8 F( 1, 6) - 19.49 Model 222.393634 1 222.393634 Prob > F 0.0045 Residual 68.4813665 6. 11.4135611 R-squared 0.7646 Adj R-squared - 0.7253 Total 290.875 7 41.5535714 Root MSE 3.3784 Coef. Std. Err. P>|t| [95% Conf. Interval] -.9596273 .2173962 -4.41 0.004 -1.491577…

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