Question 6:a. Identify and explain whether each of the following samples is a possible bootstrap samplefrom this original sample: 20, 24, 19, 23, 18a. 24, 18, 23b. 24, 19, 24, 20,23peaple are reс. 20, 24, 21, 19, 18b. A sample of size 46 with a mean of 13.6 is to be used to construct a confidence interval forH. A bootstrap distribution based on 1,000 samples is created. Where will the bootstrapdistribution be centered?a. 46b. 13.6С. Иd. 1,000C. A sample of n= 10 Illinois gas stations had an average price of $3.975 per gallon. Thenational average at this time was $3.63. If we want to use the sample data to construct a95% confidence interval for the average gas price in Illinois, where would the bootstrapdistribution be centered?decimalа. 3.63b. 3.80C. 3.975d. 10

Bootstrap Sample A bootstrap sample is a subset of a bigger sample that has been "bootstrapped" from…

Answered: Question 6: a. Identify and explain…

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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a. Calculate the population mean monthly salary, µ. There are 15 possible samples of size 4 from the population of six officers. They are listed in the first column of the following table. Sample Salaries А, В, С, D 8, 12, 16, 20 14 А, В, С, Е 8, 12, 16, 24 15 А, В, С, F 8, 12, 16, 28 16 A, B, D, E 8, 12, 20, 24 8, 12, 20, 28 8, 12, 24, 28 16 А, В, D, F А, В, Е, F A, C, D, E 17 18 A, C, D, F А, С, Е, F A, D, E, F В, С, D, E В, С, D, F В, С, Е, F B, D, E, F C, D, E, F b. Complete the second and third columns of the table. c. Complete the dotplot for the sampling distribution of the sample mean for samples of size 4. Locate the population mean on the graph. 14 15 16 17 18 19 20 21 22 d. Obtain the probability that the mean salary of a random sample of four officers will be within 1 (i.e., $1000) of the population mean.
Four samples of three observations each have been taken and shown below. sample 2 3 4 12 12 12 12 12.3 12.4 12 11.8 11 12 11 11 LCL and UCL of R-chart are: O a. -1 and 2.77 O b. O and 2.38 None of them O d. O and 2.96 O e. O and 2.12
a. Construct a boxplot for the data in this sample b. What type of shape does the distribution of the sample appear to have?
Which of the following samples taken from the sample 10, 20, 30, 40, 50 could be a bootstrap sample? O a. 20, 20, 20 O b. 10, 20, 30, 40 O c. 10, 10, 10, 20, 10 O d. 50, 50, 60, 50, 50
Four samples of three observations each have been taken and shown below. sample 4 12 12 12 11 12.3 11 11 11.8 11 12.7 11 11 LCL and UCL of R-chart are: O a. None of them O b. O and 3.09 O c. -1 and 2.77 O d. O and 2.12 O e. O and 2.96
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Consider a sample with data values of 27, 26, 20, 15, 30, 34, 27, and 25. Show the boxplot for the data. O لمسلسل 15 17 19 21 23 25 27 29 31 33 15 20 25 30 1 35 40 10 15 20 30 15 20 25 30
5. A high school teacher wants to see if there is an effect on vocabulary recall between when students take a quiz before lunch and when they take it after lunch. She randomly selected 10 students and assessed them before lunch on Tuesday. On Wednesday she randomly selected 10 students and assessed them after lunch. The following were the percentage results Before lunch 62 60 68 64 72 75 63 60 64 80 After lunch 72 85 72 62 84 76 66 63 65 64 What type of samples were selected – independent or dependent (paired)? Explain. StatCrunch was used to analyze the data, and the output for both types of samples (independent and dependent) is given below. Using the appropriate output, determine if the mean quiz score is higher for those who take the quiz before lunch over those who take the quiz after lunch at a significance level of 0.05. Hypothesis test results: mean before lunch mean after lunch Hypothesis test results: : µi - µ2 : mean of the PAIRED difference µ2 : between Before and After…
1. Suppose there are nine sections of Intro Stats with 25 students each. You ‘randomly’ choose two studentsfrom each section to use as asample. Which of the following results best describes this type of sample?A. a random, stratified sampleB. a simple random sampleC. a random, clustered sampleD. a non-random, systematic sampleE. a random, convenient sample 2. Suppose there are nine sections of Intro Stats with 25 students each. You place all 225 student’s namesin a hat and ‘randomly’ draw 30 student names to use as asample. Which of the following results bestdescribes this type of sample?A. a random, stratified sampleB. a simple random sampleC. a random, clustered sampleD. a non-random, systematic sampleE. a random, convenient sample 3. Assume the heights of students at College are normally distributed with a mean of 64.0 inchesand a standard deviation of 1.2 inches. Which of the following values best approximates the probabilityof randomly selecting aCollege student tallerthan 62.2…
Consider a sample with data values of 10, 45, 60, 85, 90. Compute the IQR. Select one: О а. 90 O b. 45 О с. 60 O d. 10 Ое. 85 O f. 40
O d. A stratified random sample QUESTION 4 A sample of households in a community is selected from the telephone directory. In this community, 4% of households have no telephone, 10% have only cell phones, and another 25% have unlisted phone numbers. The telephone directory in the above setting is considered a O a. contracted source O b. sampling frame OC. parameter level d. descriptor Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save
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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Question 6: a. Identify and explain whether each of the following samples is a possible bootstrap sample from this original sample: 20, 24, 19, 23, 18 a. 24, 18, 23 b. 24, 19, 24, 20,23