Independent random samples of professional football and basketball players gave the following information. Assume that the weight distributions are mound-shaped and symmetric.Weights (in Ib) of pro football players: x,; n, = 21243 262 256 251 244 276 240 265 257 252 282256 250 264 270 275 245 275 253 265 270Weights (in Ib) of pro basketball players: x,; n2 = 19204 200 220 210 193 215 222 216 228 207225 208 195 191 207 196 182 193 201In USE SALT(a) Use a calculator with mean and standard deviation keys to calculate x,, s,, x2, and s,. (Round your answers to four decimal places.)x =S1 =X2 =S2(b) Let u, be the population mean for x, and let u, be the population mean for x,. Find a 99% confidence interval for u, - µ2. (Round your answers to one decimal place.)lower limitupper limit(c) Examine the confidence interval and explain what it means in the context of this problem. Does the interval consist of numbers that are all positive? all negative? of different signs? At the99% level of confidence, do professional football players tend to have a higher population mean weight than professional basketball players?O Because the interval contains only negative numbers, we can say that professional football players have a lower mean weight than professional basketball players.O Because the interval contains both positive and negative numbers, we cannot say that professional football players have a higher mean weight than professional basketball players.O Because the interval contains only positive numbers, we can say that professional football players have a higher mean weight than professional basketball players.(d) Which distribution did you use? Why?

Given data Independent random samples of professional foot ball and basket ball players

Answered: Independent random samples 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

See similar textbooks

Similar questions

he accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.103 0.073 0.071 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.132 0.126 0.122 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.)y = Obtain the predicted market share when the advertising share is 0.09. (Round your answer to five decimal places.)(b) Compute r2. (Round your answer to three decimal places.)(c) Calculate a point estimate of ?. (Round your answer to four decimal places.)On how many degrees of freedom is your estimate based?
A sample of blood pressure measurements is taken from a data set and those values (mm Hg) are listed below. The values are matched so that subjects each have systolic and diastolic measurements. Find the mean and median for each of the two samples and then compare the two sets of results. Are the measures of center the best statistics to use with these data? What else might be better? Systolic: 147 137 146 148 105 102 129 122 95 99 Diastolic: 86 79 68 60 77 82 89 84 72 58
Use the following sample data for variables y and x to complete parts a through c. 48 68 83 79 53 89 82 44 93 5 6 96 D 6 4 3 4 6 4 4 2 a. Develop a scatter plot for these data and describe what, if any, relationship exists. b. (1) Compute the correlation coefficient. (2) Test to determine whether the correlation is significant at the significance level of 0.10. Conduct this hypothesis test using the p-value approach. (3) Compute the regression equation based on these sample data and interpret the regression coefficients. c. Test the significance of the overall regression model using a significance level equal to 0.10. a. Choose the correct graph below. O A. B. Oc. OD. 150 150 150T 150 ---- There appears to be V linear relationship between x and y. b. First compute the c |(Round to is needed.) r= no Now test to determine on is significant at the signifi tested. a positive A. Ho: ρ 0, H. a negative b. First compute the correlation coefficient r. r= (Round to three decimal places as…
A student surveyed a random sample of 301 students in her large college and collected the data in the table below, on the variables class year and favorite team sport. Perform a chi-square test to determine if the variables class year and favorite team sport are independent. Basketball Soccer Baseball/Softball Other Total Freshman 12 41 11 1 65 Sophomore 12 43 17 7 79 Junior 10 44 10 11 75 Senior 10 49 18 5 82 Total 44 177 56 24 301 What is the test statistic for the chi-squared test? (round to 3 dp) . The p-value for this test is . (If p-value <0.001, enter 0, otherwise report to 4 dp) Select the appropriate conclusion for this test at a significance level of α=0.05.A. Reject H0H0. We have significant evidence that class year and team sports are not independent.B. Fail to reject H0H0. We do not have significant evidence that class year and team sports are not independent.
A statistic is a number that... describes a characteristic of a population of scores. describes a characteristic of a sample of scores. is never used to estimate or make a decision about a parameter. summarizes all the individuals a researcher is interested in.
A certain type of concrete mix is designed to withstand 3000 pounds per square inch (psi) of pressure. The concrete is poured into casting cylinders and allowed to set for 28 days. The concrete's strength is then measured. The following data represent the strength of nine randomly selected casts (in psi). Compute the mean, median, and mode strength of the concrete (in psi). 3940 4060 3220 3080 2920 3870 4060 4030 3790 Compute the mean strength. Select the correct choice below and fill in the answer box to complete your choice. OA. The mean strength is 10 (Round to two decimal places as needed.) B. The mean does not exist. Compute the median strength. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OA. The median strength is (Round to two decimal places as needed.) B. The median does not exist. Compute the mode strength. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OA. The mode…
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
pauieidxa aJe Pien aun 2. Consider the following data on the hours of burnout for a sample of 59 lightbulbs 68 70 86 88 62 61 79 92 116 103 68 63 88 81 62 74 62 94 71 70 58 98 98 65 73 71 70 97 94 59 57 90 71 101 78 43 59 67 61 71 96 75 64 76 72 77 74 65 82 86 66 86 96 107 57 97 86 59 83 Describe the shape of the data using coefficient measures based on the moments 3. Ten competitors in a beauty contest are ranked by three judges as follows: Competitors Judges 6. 7 8 9. 10 1|Page
Let x be the average number of employees in a group health insurance plan, and let y be theaverage administrative cost as a percentage of claims. The following data is based on a randomsample:x 5 7 15 25 35y 40 35 30 20 25a. Plot a scatter diagram of the above data.b. Estimate the sample correlation coefficient r as positive, zero, or negative.c. Interpret your results from parts a. and b.
A Hollywood studio believes that a movie that is considered a drama will draw a larger crowd on average than a movie that is considered a comedy. To test this theory, the studio randomly selects several movies that are classified as dramas and several movies that are classified as comedies and determines the box office revenue for each movie. The results of the survey are as follows. Assume that the population variances are approximately equal. Box Office Revenues (Millions of Dollars) n x S Drama 14 150 50 Comedy 16 120 10 Copy Data Calculate a 99 % confidence interval for the difference in mean revenue at the box office for drama and comedy movies. Let dramas be Population 1 and comedies be Population 2. Write your answer using interval notation and round the interval endpoints to two decimal places.
The dot plots below show the weights of the players of two teams: Team E 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 Weight (pounds) Team F : : 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 Weight (pounds) Based on visual inspection of the dot plots, which team appears to have the larger mean weight?

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS