Find the four averages using the data for “Race Time” on the force. 10th Annual Gotham District RaceWeight(pounds)ContestantRace TimeStanding inPrizeNumberGenderGrade(Seconds)RaceMoney102Senior11253.243rd$44.25$0.00$0.00109Freshman9569.3195th132FSenior11264.5148th202Junior8536.21st$167.50212MFreshman7859.288th$0.00214Junior9472.6230th$0.00230FFreshman8546.328th$94.25258MFreshman9452.340th$50.75263FSenior9139.68th$143.00265FJunior10158.665th$0.00285FJunior7967.1158th$0.00292MJunior8538.74th$149.50296MFreshman9953.644th$41.50132ndSophomoreSophomore$0.00$119.753079763.4363F10242.820th371FSophomore9838.63rd$150.00

Introduction - Mean or average = Sum of observations total number of observations

Weight (pounds) Contestant Race Time Standing in Prize Number Gender Grade (Seconds) Race Money $44.25 102 F Senior 112 53.2 43rd 109 F Freshman 95 69.3 195th $0.00 $0.00 $167.50 $0.00 $0.00 $94.25 132 F Senior 112 64.5 148th 202 Junior 85 36.2 1st 212 M Freshman 78 59.2 88th 214 F Junior 94 72.6 230th 230 F Freshman 85 46.3 28th 258 Freshman 94 52.3 40th $50.75 $143.00 $0.00 $0.00 263 F Senior 91 39.6 8th 265 F Junior 101 58.6 65th 285 F Junior 79 67.1 158th $149.50 $41.50 $0.00 $119.75 $150.00 292 Junior 85 38.7 4th 296 Freshman 99 53.6 44th Sophomore Sophomore Sophomore 307 F 97 63.4 132nd 363 F 102 42.8 20th 371 F 98 38.6 3rd

Weight (pounds) Contestant Race Time Standing in Prize Number Gender Grade (Seconds) Race Money $44.25 102 F Senior 112 53.2 43rd 109 F Freshman 95 69.3 195th $0.00 $0.00 $167.50 $0.00 $0.00 $94.25 132 F Senior 112 64.5 148th 202 Junior 85 36.2 1st 212 M Freshman 78 59.2 88th 214 F Junior 94 72.6 230th 230 F Freshman 85 46.3 28th 258 Freshman 94 52.3 40th $50.75 $143.00 $0.00 $0.00 263 F Senior 91 39.6 8th 265 F Junior 101 58.6 65th 285 F Junior 79 67.1 158th $149.50 $41.50 $0.00 $119.75 $150.00 292 Junior 85 38.7 4th 296 Freshman 99 53.6 44th Sophomore Sophomore Sophomore 307 F 97 63.4 132nd 363 F 102 42.8 20th 371 F 98 38.6 3rd

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

Can you please use this data to determine the power at a wind speed of 14 m/s using linear spline interpolation.
Please answer the question in the picture below to answer the question in the other picture
Maintaining your balance may get harder as you grow older. A study was conducted to see how steady the elderly are on their feet. They had a random sample of subjects stand on a force platform and have them react to a noise. The force platform then measured how much they swayed forward and backward, and the data are in the table below. Do the data show that the mean elderly sway measurement is higher than the mean forward sway of younger people, which is 18.125 mm? Test at the 1% level. forward sway in mm 34 30 31 34 24 25 22 33 33 17 19 29 30 31 24 33 27 26 26 30 17 17 15 41 48 34 15 36 20 9 34 12 13 34 14 29 39 33 11 20 25 29 23 27 P: Parameter What is the correct parameter symbol for this problem? What is the wording of the parameter in the context of this problem? H: Hypotheses Fill in the correct null and alternative hypotheses: H0:H0:…
In Major League baseball, the speed of a pitch is very important. How fast is the speed of a major league pitchers average pitch? A researcher took a random sample of the speed of 16 pitches from the 2019 Major League baseball season. The following are the speeds of these pitches in miles per hour: 92.8, 87.0, 89.1, 96.2, 75.6, 89.6, 92.5, 83.3, 86.5, 95.6, 94.1, 91.6, 94.2, 93.4, 90.0 It is reasonable to treat these measurements as coming from a normal distribution with unknown mean μ and unknown standard deviation σ d) Find the sample standard deviation of the above data e) Find the sample median of the above data. f)Create a 90% confidence interval for μ. ( , )
You work as a data scientist for a real estate company in a seaside resort town. Your boss has asked you to discover if it's possible to predict how much a home's distance from the water affects its selling price. You are going to collect a random sample of 7 recently sold homes in your town. You will note the distance each home is from the water (denoted by x, in km) and each home's selling price (denoted by y, in hundreds of thousands of dollars). You will also note the product x.y of the distance from the water and selling price for each home. (These products are written in the row labeled "xy"). (a) Click on "Take Sample" to see the results for your random sample. Distance from the water, .x (in km) Take Sample Selling price, y (in hundreds of thousands of dollars) xy Send data to calculator Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. When you are done, select "Compute". (In the table…
Please answer the question in the picture below to answer the question in the other picture
After three exams Denny has a mean score of 74 with only one exam remaining in the class what is the minimum score she will need on that exam to have an overall of an 80
A large automobile insurance company selected samples of single and married male policyholders and recorded the number who made an insurance claim over the preceding three-year period. Z-value p-value Single Policyholders n₁ = 440 Number making claims = 88 a. Use a = 0.05. Test to determine whether the claim rates differ between single and married male policyholders. (to 2 decimals) (to 4 decimals) X Married Policyholders n2 = 840 Number making claims 126 We can conclude ✔ that there is the difference between claim rates. b. Provide a 95% confidence interval (to 4 decimals) for the difference between the proportions for the two populations. Enter negative answer as negative number. X * )
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
Please answer the question on the screenshot:
Rail ridership during the summer months in the North-East is believed to beclosely related to the number of tourists visiting the region. The following tableshows the data on the number of tourists and North-East ridership for the past16 years. (Answer in Excel showing formulas for answers)Year Tourists( in millions) Rail Ridership (in millions) 2000 9 2.32001 4 1.9 2002 7 1.7 2003 5 1.8 2004 12 2.8 2005 13 2.9 2006 14 2.42007 20 4.8 2008 7 1.3 2009 5 1.12010…
A group of researchers measured how funny people rated a cartoon when they were in one of two groups: holding a pen in their teeth (forcing them to smile) or holding a pen in their lips (forcing them to frown). For this study, identify the independent variable and the dependent variable. Justify your response.