Complete the table below? Do Homework - HW 2.1https://www.mathxl.com/Student/PlayerHomework.aspx?homeworkld%3619768663&queMTH245 Statistics-l Spring 2022sigudyE Homework: HW 2.1Question 9, 2.1.18Part 1 of 7>pEtCUse the frequency distribution shown below to construct an expanded frequency distribution.High Temperatures (°F)Class16-2627-3738-4849-5960-7071-8182-92extFrequency, f18446768786723apcesComplete the table below.High Temperatures (°F)IlsClass Frequency, f Midpoint(Round to the nearest hundredth as needed.)CumulativefrequencyRelativefrequencyIs16-261868ItichcuirsHelp me solve thisView an exampleGet more help -60,964FEB Use the frequency distribution shown below to construct an expanded frequency distribution.High Temperatures (°F)Class16-2627-3738-4849-5960-7071-8182-92 PxtFrequency, f18446768786723apces Complete the table below.killsClass Frequency, f MidpointHigh Temperatures (°F) (Round to the nearest hundredth as needed.)RelativefrequencyCumulativefrequencyTools16-261868Multi

Answered: -C Use the frequency distribution shown…

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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Q2 needed to be solved correctly in 30 minutes and get the thumbs up please show neat and clean work
14. 5 students were asked to record their GPA from High School and College. The results are below: Student HS GPA College GPA A B C D 2 E 3.8 3 3.1 4.0 2.5 3.3 2.8 2.2 Sum= 3.5 1.9 Sample x-H.S. GPA 1 2.5 a. Find the correlation coefficient r by filling in the following chart and using the formula: y-College GPA Sum= Sum= Sum= Sum= xy
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R2 is a measure of ...
Which figures are similar? O A- C O B D and A C O B D and - F O B D and E F and A - C
A study was conducted to test the effectiveness of a juggling class. Before the class started, six subjects juggled as many balls as they could at once. After the class, the same six subjects juggled as many balls as they could. The results are as follows. Student A B C D E F Before 3 4 3 4 5 After 4 5 6 4 7 a. Test whether the class is effective at increasing the number of balls they were able to juggle. Use a= 0.01 b. Construct a 99% confidence interval for the mean of the differences.
The basketball coach at a local college believes that his team scores more points at home games when more people show up. Below is a list of all home games last year with scores and corresponding attendance. Use Excel, SPSS, or work by hand to show your work finding r. Show your work on the attached pages. Score Attendance Score Attendance 54 380 67 410 57 350 78 215 59 320 67 113 80 478 56 250 82 451 85 450 75 250 101 489 73 489 99 472 53 451 What is the obtained t-score for this correlation? What is the critical t-score for a two-tailed test with a = 0.05? Is this correlation significant based on the t-scores?
The Margaria-Kalamen test is used by physical educators as a measure of leg strength. An individual runs up a staircase, and the elapsed time from the third to the ninth step is recorded. The power score is calculated using a formula involving the individual's weight, the height of the stairs, and the running time. The following tablet shows the power scores required of men for an excellent rating for selected ages. Power score for Age excellent rating 18 224 25 210 35 168 45 125 55 98 (a) What is the average rate of change per year in excellence level from 18 years to 25 years old? points per year (b) What power score would merit an excellent rating for a 20-year-old man? (Round your answer to the nearest whole number.) points (c) During which 10-year period from age 25 to 55 would you expect to see the greatest decrease in leg power? O 25 to 35 O 35 to 45 O 45 to 55
Match these values of r with the accompanying scatterplots: - 0.385, 0.385, 0.997, - 0.767, and 1. Click the icon to view the scatterplots. Match the values of r to the scatterplots. Scatterplots Scatterplot 1, r = 0.385 Scatterplot 2, r= 0.997 Scatterplot 3, r = -0.767 Scatterplot 4, r = Scatterplot 1 Scatterplot 2 Scatterpl 8- R- 8- - 0.385 6- 6- 6- Scatterplot 5, r= 1 > 4- 4- 4- 2- 2- b- 0- 0- 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 х х Scatterplot 4 Scatterplot 5 15- 8- 14- 6- 13- 4- 12- 2- 11- 10- 0+ 1 0.2 0.4 0.6 0.8 0.2 0.4 0.6 0.8 х
Match these values of r with the accompanying scatterplots: 0.402, 0.736, -0.736, -1, and 1. Click the icon to view the scatterplots. Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 2, r= Scatterplot 3, r= Scatterplot 4, r = Scatterplot 5, r = V ▼ Scatterplots 15- 14- 13- 12- 11- 10+ 0 8- 6- 4. 2- 0- 0 4 Scatterplot 1 . • 0.2 0.4 0.6 0.8 1 x Scatterplot 4 0.2 0.4 0.6 0.8 x • 1 Q Q Q ✔ 8 6- > 4- 2 ▬▬▬▬▬▬▬▬▬▬o 0- 0 0.2 0.4 0.6 0.8 -14 Scatterplot 2 0 • X Scatterplot 5 1 0.2 0.4 0.6 0.8 1 C Q Q ✔ Q Q > 8- 6- 4- 2 0- 0 0 · Scatterp T 0.2 0.4 0.6 X ▶ X
Match these values of r with the accompanying scatterplots: - 0.994, 0.76, 0.994, - 0.374, and - 0.76. Click the icon to view the scatterplots. Match the values of r to the scatterplots. i Scatterplots Scatterplot 1, r= Scatterplot 2, r= Scatterplot 3, r = Scatterplot 1 Scatterplot 2 Scatterplot 3 Scatterplot 4, r= 8- 8- 8- Scatterplot 5, r = 6- 6- 6- > 4- 4- 4- 2- 2- 2- 0+ 0- 0- 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 Scatterplot 4 Scatterplot 5 8- 6- -2- -4– > 4- -6- 2- -8- 04 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 X of of of of of
Match these values of r with the accompanying scatterplots: 1, - 0.996, - 0.743, 0.996, and 0.358. Click the icon to view the scatterplots. i Scatterplots Match the values of r to the scatterplots. Scatterplot 1, r = Scatterplot 2, r = Scatterplot 1 Scatterplot 2 Scatterplot 3 Scatterplot 3, r = 15- 0- 8- . Scatterplot 4, r= 14- -2- 6- 13- Scatterplot 5, r= -4- 4- 12- -6– 11- 2- -8- 1 104 0- 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 - 0.743 0.996 Scatterplot 4 Scatterplot 5 - 0.996 8- 8- 0.358 6- 6- > 4- 4- 2- 2- 0+ 0- 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1

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