Suppose you are interested in buying a new Lincoln Navigator or Town Car. You are standing on the sales lot looking at a modelwith different options. The list price is on the vehicle. As a salesperson approaches, you wonder what the dealer invoice price is forthis model with its options. The following data are based on a random selection of these cars of different models and options. Let ybe the dealer invoice (in thousands of dollars) for the given vehicle.Xy44.047.831.2 34.3 36.129.8 30.0 32.0 42.1 42.2193.4, y = 176.1, x² = 7673.98, Ey2 = 6365.29, Exy = 6983.52, and r≈ 0.969.(a) Verify that ExΣχ 193.4Ey 176.1Σχ2 7673.98Σy2 6365.29Exy 6983.52r 0.969=(b) Use a 1% level of significance to test the claim that p > 0. (Use 2 decimal places.)tcritical tConclusionReject the null hypothesis, there is sufficient evidence that p > 0.Reject the null hypothesis, there is insufficient evidence that p > 0.Fail to reject the null hypothesis, there is insufficient evidence that p > 0.Fail to reject the null hypothesis, there is sufficient evidence that p > 0. (c) Verify that Se≈ 1.8281, a ≈ 0.8021, and b≈ 0.8898.Se 1.8281a 0.8021b 0.8898(d) Find the predicted dealer invoice when the list price is x = 36 (thousand dollars). (Use 2 decimal places.)32.83(e) Find a 99% confidence interval for y when x = 36 (thousand dollars). (Use 2 decimal place.)lower limit 34.17upper limit 37.82(f) Use a 1% level of significance to test the claim that ß > 0. (Use 2 decimal places.)t 6.76critical t 5.84ConclusionXReject the null hypothesis, there is sufficient evidence that ß > 0.Reject the null hypothesis, there is insufficient evidence that p > 0.Fail to reject the null hypothesis, there is insufficient evidence that p > 0.Fail to reject the null hypothesis, there is sufficient evidence that p > 0.(g) Find a 99% confidence interval for and interpret its meaning. (Use 3 decimal places.)lower limitupper limitInterpretationX

by bartleby policy i can gives only 3 subparts answer at a time From given data we have : x 31.2…

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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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The bar graph at the right shows the income from summer jobs for six students at a high school. Estimate the income of the following students. a. William b. John Summer Income John Mary Susan a. Approximately how much did William make? Ryan William O A. $1500 O B. $17.00 George 1000 2000 Dollars ($) 3000 4000 O C. $1700 O D. $1900 b. Approximately how much did John make? O A. $22.00 O B. $2200 OC. $2000 O D. $2400 Click to select your answer. P Type here to search
Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation a at Bank A. 0.40 min
The values listed below are waiting times (in minutes) of customers at two different banks. At BankA, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.5 6.6 6.7 6.8 7.1 7.2 7.6 7.8 7.8 7.8 Bank B 4.3 5.4 5.9 6.2 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 99% confidence interval for the population standard deviation o at Bank A. min < OBank A min (Round to two decimal places as needed.) Construct a 99% confidence interval for the population standard deviation o at Bank B. min < OBank B
Titus has collected a set of data and calculated the median to be 29 the set contains 75 numbers but Titus gives an email telling him to add the following six numbers to his data 2326 2630 3340 what is the new median for this data
The value of a certain car when it was brand new with 0 mileage was $17,000 but the value dropped to $4,000 when the car acounulated 80,000 miles shown in the scatter plot below. Car's Mleage and Value S17.000 $2,000 Mileage Based on the data in the scatter plot, at what mileage was the car worth about $12,000? O 20,000 miles O 30,000 miles O 60,000 miles O 80,000 miles
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.3 7.6 7.8 7.8 7.8 Bank B 4.3 5.4 5.8 6.3 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. min < OBank A < min (Round to two decimal places as needed.) Construct a 90% confidence interval for the population standard deviation o at Bank B. |min < OBank B< min (Round to two decimal places as needed.) Interpret the results found in the previous parts. Do the confidence intervals suggest a difference in the variation among waiting times? Does the single-line system or the multiple-line system seem to be a better arrangement? O A.…
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.5 6.6 6.7 6.8 7.1 7.2 7.4 7.8 7.8 7.8 Bank B 4.1 5.3 5.9 6.2 6.7 7.6 7.6 8.6 9.2 10.0 A. Construct a 90%confidence interval for the population standard deviation σ at Bank A _____min <o Bank A < ______min…
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.5 7.7 7.7 7.7 Bank B 4.2 5.5 5.7 6.2 6.7 7.8 7.8 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 95% confidence interval for the population standard deviation o at Bank A. min< OBank A min (Round two decimal places as needed.) Construct a 95% confidence interval for the population standard deviation o at Bank B. min < OBank B < min (Round to two decimal places as needed.) Interpret the results found in the previous parts. Do the confidence intervals suggest a difference in the variation among waiting times? Does the single-line system or the multiple-line system seem to be a better arrangement? O A. The…
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.6 7.9 7.9 7.9 Bank B 4.2 5.4 5.8 6.2 6.7 7.6 7.6 8.5 9.2 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 99% confidence interval for the population standard deviation o at Bank A. min < OBank A min (Round to two decimal places as needed.)
For each problem, select the best response. (a) The Columbus Zoo conducts a study to determine whether a household's income can be used to predict the amount of money the household will give to the zoo's annual fund drive. The response variable in this study is A. the amount of money a household gives to the zoo's annual fund drive. B. all households in Columbus. C. the Columbus Zoo. D. a household's income. E. None of the above. (b) A researcher measures the correlation between two variables. This correlation tells us A. whether a cause-and-effect relation exists between two variables. B. the strength of a straight line relation between two variables. C. whether there is a relation between two variables. D. whether or not a scatterplot shows an interesting pattern. E. None of the above. (c) A researcher wishes to determine whether the rate of water flow (in liters per second) over an experimental soil bed can be used to predict the amount of soil washed away (in…
The Census Bureau Web site gives several choices for "average income" in its historical income data. In 2006, the median income of American households was $48,201. The mean household income was $66,570. The median income of families was $58,407, and the mean family income was $77,315. The Census Bureau says, “Households consist of all people who occupy a housing unit. The term ‘family’ refers to a group of two or more people related by birth, marriage, or adoption who reside together.” Identify the reason for mean incomes for households being higher than median incomes for households.
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.3 7.5 7.8 7.8 7.8 Bank B 4.2 5.5 5.9 6.3 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. 7:6

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