**University Basketball Coach Salaries**John Calipari, head basketball coach for the 2012 national champion University of Kentucky Wildcats, is the highest-paid coach in college basketball with an annual salary of $5.4 million (*USA Today*, March 29, 2012). The sample below shows the head basketball coach’s salary for a sample of 10 schools playing NCAA Division 1 basketball. Salary data are in millions of dollars.| University | Coach’s Salary ||----------------|----------------|| Indiana | 2.2 || Xavier | 0.5 || Texas | 2.4 || Connecticut | 2.7 || West Virginia | 2.0 || University | Coach’s Salary ||----------------|----------------|| Syracuse | 1.5 || Murray State | 0.2 || Florida State | 1.5 || South Dakota State | 0.1 || Vermont | 0.2 |**Questions**:a. Use the sample mean for the 10 schools to estimate the population mean annual salary for head basketball coaches at colleges and universities playing NCAA Division 1 basketball (to 2 decimals).b. Use the data to estimate the population standard deviation for the annual salary for head basketball coaches (to 4 decimals).c. What is the 95% confidence interval for the population variance (to 2 decimals)?d. What is the 95% confidence interval for the population standard deviation (to 2 decimals)?

Answered: lary for a sample of 10 schools playing…

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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show how to answer and put into graphing calculator. Ppool = .126
An estimate of the variation between the groups is the a. Mean Square due to Error. b. Sum of Squares Total. c. Sum of Squares due to Treatments. d. Sum of Squares due to Error.
Identify the mean, median and mode based from the data below.
Please write clearly. Thank you.
Please show all your work to receive full credits. The following are sample data provided by a moving company on the weights of six shipments, the distances they are moved, and the damage that that was incurred: Weight (1,000 pounds) Distance Damage (1,000 miles) (dollars) X1 X2 y 4.0 1.5 160 3.0 2.2 112 1.6 1.0 69 1.2 2.0 90 3.4 0.8 123 4.8 1.6 186 a) Fit an equation of the form y bo + b1 x1 + b2 x2 b) Use the equation obtained in part (a) to estimate the damage when a shipment weighting 2200 pounds is moved 1100 miles. Hint: Use the given equation to solve for bo, b1 and b2 and then put it back in y= bo + bị x1 + b2 X2 X2
6.24 Female heights The normal distribution for women's height in North America hasu inches. Most major airlines have height requirements for flight attendants (www.cabincrewjobs.com). Although exceptions is 62 inches. What proportion of adult females in North America are not tall enough to be a flight attendant? 65 inches, = 3.5 are made, the minimum height requirement
It is considered quite common to have feet of unequal length. In a sample of 10 healthy college students the right-foot and left-foot lengths are given (in mm). Length in mm mean ss Left foot (xx) 268 274 258 259 256 256 264 263 269 270 263.7 6.3779132776932 Right foot (yy) 247 281 249 259 231 273 267 264 285 265 262.1 16.3737594949969 d=x−yd=x−y 21 -7 9 0 25 -17 -3 -1 -16 5 1.6 13.9459273226591 (a) Find the test statistic. (b) Test the claim at the 0.05 significance level. Positive critical value: Negative critical value: Is there sufficient data to support the claim?YesNo
1. These are the distances, in kilometres, students in a class travel to school. 1.1, 3.3, 2.3, 0.4, 0.9, 2.8, 1.8, 1.8, 2.4, 1.3, 0.4 Find the mean, median and mode for this data. What are the quartiles for this data set? Show all your work.
For the project, you will have to: Collect and organize a sample of 30 items of data from a source you find relevant. Some examples: Sports (top HR hitters, rushing leaders, point scorers, etc.) Weather (average daily temperature for a month, max hurricane wind speed, etc.) Business (top-grossing movies, highest-paid athletes, record sales, etc.) Demographics (age, height, weight, etc.) Find the mean, median, mode, and mid-range for your date. Find the variance, standard deviation, and range for your data. Find the five-number summary and determine (mathematically) if there are any outliers. Construct a 95% confidence interval for the mean of your data. You are allowed to use the calculator for the calculations but you must provide me with the 30 data values you obtain in a neat, organized manner, preferably in a spreadsheet. Also, be sure to provide the source of your data. When you provide the answers to the questions above please use the correct symbols and notation.…
3. The data in the table shows the mileage that students commute to school. B. Find the weighted mean. Miles Midpoint Frequency 10 - 14 12 8 15 - 19 17 C. Draw a histogram for the data. 20 - 24 22 9 25 - 29 27 21 30 - 34 32 7 A. How many students are in the class?
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…

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