The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below.No. of absences, x4567890 1 2 389.1 86.2 83.4 81.0 78.1 73.8 64.1 68.9 66.1Final grade, y63.3(a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable.y =0X +(Round to three decimal places as needed.)

The following information has been given: x y 0 89.1 1 86.2 2 83.4 3 81.0 4 78.1 5…

Answered: The data below represent the number of…

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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o-$1,800. Answer Questions 1-6. 1. Find P(X $46000). 3. A professor's salary(X) was selected from this college. Find P( $45000$46000). 6. Sixty-four professor's salaries were selected at random. The mean, X-bar, was calculated. Find P( S45000
3014 4. Find: a. Mean b. Median c. Mode Years of Experience 1-4 5-8 9-12 13-16 17-20 21-24 25-28 Number of Employees 16 20 28 24 16 11 5
The national distribution of fatal work injuries in a country is shown in the table to the right under National %. You believe that the distribution of fatal work injuries is different in the western part of the country and randomly select 6231 fatal work injuries occuring in that region. At a = 0.05 can you conclude that the distribution of fatal work injuries in the west is different from the national distribution? Complete parts a through d below. Equipment Cause National % 44% Western Frequency Transportation 2895 18% 1160 Assaults Falls Harmful fumes 14% 803 13% 754 9% 532 Fires 2% 87 O B. The distribution of fatal work injuries in the west is the same as the expected distribution. O C. The distribution of fatal work injuries in the west is 44% transportation, 18% equipment, 14% assaults, 13% falls, 9% harmful fumes, and 2% fires. Which hypothesis is the claim? O Ho V H. b. Determine the critical value, Yo. and the rejection region. Y = 11.071 (Round to three decimal places as…
Please answer question 4 In 2015, the average duration of long-distance telephone calls from a certain town was 3.9 minutes. A telephone company wants to perform a test to determine whether this average duration of longdistance calls has changed. Fifty calls, originating from the town, was randomly selected and the following summary minutes. ∑ ? = 205 ∑(? − ?̅)2 = 56.43 Calculate the sample mean, ?̅. Calculate the sample standard deviation Using the p value approach at the 1% level of significance, test whether the mean duration of long-distance calls from the town had increased. Construct the 99% confidence interval for the population mean duration of the long-distance calls from the town.
7h. A travel association reported the domestic airfare (in dollars) for business travel for the current year and the previous year. Below is a sample of 12 flights with their domestic airfares shown for both years. CurrentYear PreviousYear 345 315 526 451 420 450 216 206 285 263 405 432 635 585 710 650 605 545 517 547 570 496 610 580 Calculate the test statistic. (Use current year airfare − previous year airfare. Round your answer to three decimal places.) Calculate the p-value. (Round your answer to four decimal places.) p-value =
Q.9. Calculate missing frequencies from the following when mean is 13-75. No. of students : 4 8 10 12 18 24 22 frequency : 13 11 9 8 10
A random sample of 11 professional athletes produced the following data, where x is the number of endorsements the player has and y is the amount of money the player made (in millions of dollars). (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Number of Endorsements (x) Amount Player Made in Millions of Dollars (y) 5 0.1 8. 20.6 8. 20.1 14 7 15.6 4 5.8 21 3 4.9 4 12.5 8. 18.5 8 21.5 x: 5, 8, 8, 7, 7, 4, 5, 3, 4, 8, 8 y: 0.1, 20.6, 20.1, 14, 15.6, 5.8, 21, 4.9, 12.5, 18.5, 21.5 1. Find the best fit line for the data. y =
The government is interested to estimate the proportion of families gathering in the weekends, in a city. The city is divided into three blocks. A stratified random sample of 60 households was selected proportionately from each block considering the blocks as strata. The summary data of the survey are presented in the following table. Stratu Ni m (i) |X; Mean S; Pi 1 120 18 35.0 4.0 0.5 О.2 0.9 130 15 20.0 5.0 180 27 30.0 6.0 25 i) Estimate the proportion of family gathering in the weekend, and obtain a 95% confidence interval of your estimate. Interpret the results. ii) Find the appropriate sample size and its allocation for estimating the total family gathering, with a bound of 50 points on the error of estimation. Assume that the stratum standard deviations are o1=8, 02=12 and , o3=4. LO NO Oold 23
Full data set 3. The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts (a) to (c) below. Name Brand Store Brand 22 29 24 22 28 23 25 22 17 28 24 35 32 28 33 27 23 31 26 28 15 24 23 21 (a) Draw side-by-side boxplots for each brand of cookie. Label the boxplots "N" for the name brand and "S" for the store brand. Choose the correct answer below. O A. OB. OC. N- S- 30 40 40 (b) Does there appear to be a difference in the number of chips per cookie? O A. Yes. The store brand appears to have more chips per cookie. O B. Yes. The name brand appears to have more chips per cookie. O C. No. There appears to be no difference in the number of chips per cookie. O D. There is insufficient information to draw a conclusion. (c) Does one brand have a more consistent number of chips per cookie? O A. Yes. The store brand has a more consistent number of chips per cookie. B. No. Both brands have roughly the same number…
For large U.S. companies, what percentage of their total income comes from foreign sales? A random sample of technology companies (IBM, Hewlett-Packard, Intel, and others) gave the following information.† Technology companies, % foreign revenue: x1; n1 = 16 62.8 55.7 47.0 59.6 55.3 41.0 65.1 51.1 53.4 50.8 48.5 44.6 49.4 61.2 39.3 41.8 Another independent random sample of basic consumer product companies (Goodyear, Sarah Lee, H.J. Heinz, Toys 'R' Us) gave the following information. Basic consumer product companies,% foreign revenue: x2; n2 = 17 28.0 30.5 34.2 50.3 11.1 28.8 40.0 44.9 40.7 60.1 23.1 21.3 42.8 18.0 36.9 28.0 32.5 Assume that the distributions of percentage foreign revenue are mound-shaped and symmetric for these two company types. (a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to four decimal places.) x1 = % s1 = % x2 = % s2 = % (b) Let ?1 be the population mean…
The following data provides the monthly streaming bill for a random sample of 20 households along with the number of televisions in the household (TV), the number of people living in the household (People). and the number of years that household has been a streaming customer (Years). Calculate the adjusted multiple coefficient of determination for predicting the streaming bill. Place the answer in decimal points.
For large U.S. companies, what percentage of their total income comes from foreign sales? A random sample of technology companies (IBM, Hewlett-Packard, Intel, and others) gave the following information.† Technology companies, % foreign revenue: x1; n1 = 16 62.8 55.7 47.0 59.6 55.3 41.0 65.1 51.1 53.4 50.8 48.5 44.6 49.4 61.2 39.3 41.8 Another independent random sample of basic consumer product companies (Goodyear, Sarah Lee, H.J. Heinz, Toys 'R' Us) gave the following information. Basic consumer product companies,% foreign revenue: x2; n2 = 17 28.0 30.5 34.2 50.3 11.1 28.8 40.0 44.9 40.7 60.1 23.1 21.3 42.8 18.0 36.9 28.0 32.5 Assume that the distributions of percentage foreign revenue are mound-shaped and symmetric for these two company types. (a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.) x1 = % s1 = % x2 = % s2 = % (b) Let μ1 be the population mean for x1…

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