Questions 1, 2, 3, and 4 use the X and Y data below. You can think of this data as representing the heights of 5 individuals (labelled A,B,C,D,E) at ages11 (X column) and 12 (Y column).Paired Y-XObs XABсDE6061626364Y6262636466The means and variances for X and Y are shown below. (You can verify to practice calculation steps.)X Mean: 62, X Variance: 2.5 | Y Mean: 63.4, Y Variance: 2.8The Y-X difference column has not been computed. You need to fill this out and compute the corresponding mean and variance (for Y-X) for question3.Test whether the population mean of Y is no greater than 1/2 (0.5) unit higher than the population mean for X as the null hypothesis (Ho) vs thepopulation mean of Y is more than 1/2 unit greater than the population mean for X as the alternative hypothesis (H1).What is the small sample t statistic for the test of Ho? Round to two decimal places (e.g., 1.23)Assume the measurements are independent (not a paired test), the variances are not equal and the degrees of freedom for the small sample test can beapproximated by 5 + 5 -2 = 8.

Given the data of the heights of 5 individuals at ages 11(X) and 12(Y) as Obs X Y A 60 62 B…

Answered: Questions 1, 2, 3, and 4 use the X and…

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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Several years ago, the state of California launched an aggressively advertisement campaign against smoking. We've interviewed students from 16 college campuses in California and recorded for each campus the percentage of students who claimed that they had encountered assay least one anti smoking advertisement on campus in the past month. Here are those percentages. 53 39 30 49 48 42 41 38 26 36 40 42 52 51 45 50 Construct a box and whisker plot for the data.
Part II. The data below represents the weights (in kgs) of a sample of 20 giant turtles: 61 65 67 67 69 73 74 74 74 77 77 78 80 84 88 89 92 93 95 96 1. Construct a Stem-and-Leaf display of this data based on the stems 6, 7, 8, 9. 2. Find the percentage of weights greater than or equal to 73 kgs. 3. Find the percentage of weights less than 80 kgs.
Find a best-fit line for the following 5 data points. Please state the equation of the line, and give the error vector. 2|3 3 3 45
3. The number of goals scored by Wayne Gretzky was recorded for seasons 1978 – 1999. (Please note the data set has been ordered from smallest to the largest for your convenience). 5, 9, 11, 16, 23, 23, 31, 38, 40, 40, 41, 46, 51, 52, 54, 55, 62, 71, 73, 87, 92 A. Construct a stem-and-leaf display for the data and describe the shape of the distribution (symmetric, skewed left, skewed right, bell-shaped, etc., any obvious outliers). B. What is the fraction of the data that is less than or equal to 31? C. Given that Ex, = 920 and Ex = 52 436 find the mean and standard deviation. D. Find the (i) median, (ii) Q1, (iii)Q:, (iv) the interquartile range (IQR), (v) the lower and upper fences. E. Construct a Box-plot for the data. What are your conclusions about the shape of the distribution? Compare with the results in Part A. F. Would the mean or the median be the most suitable measure to use to represent the central location of this distribution? Give reasons for your answer.
I need help with the questions 2a,2b and 2c. Describe the shape of the distribution of the data. Which movie has the largest budget With all the data obtained, which genre movie tend to have larger budgets.
4.3) •VA report from Texas Transportation Institute (Texas A&M University System 2005) on Congestion Re- duction Strategies looked into the extra travel time (due to traffic congestion) for commute travel per traveler per year in hours for different urban areas. Below are the data for urban areas that had a population of over 3 million for the year 2002. Extra Hours per Traveler per Year Urban Area Los Angeles San Francisco 98 75 Washington DC Atlanta 66 64 Houston 65 Dallas, Fort Worth Chicago Detroit 61 55 54 Miami 48 Boston 53 New York 50 Phoenix 49 Philadelphia 40 4. Compute the mean and median values for extra travel hours. Based on the values of the mean and median, is the distribution of extra travel hours likely to be approximately symmetric, positively skewed, or negatively skewed?
Questions 1 and 2 use the X and Y data below. You can think of this data as representing the heights of 5 individuals (labelled A,B,C,D,E) at ages 11 (X column) and 12 (Y column). Obs X Y Paired Y-X A 60 62 B 61 62 C 62 63 D 63 64 E 64 66 The means and variances for X and Y are shown below. (You can verify to practice calculation steps.) X Mean: 62, X Variance: 2.5 | Y Mean: 63.4, Y Variance: 2.8 The Y - X difference column has not been computed. You need to fill this out and compute the corresponding mean and variance (for Y-X) for question 2 1) Test whether the population mean of Y is no greater than 1/2 (0.5) unit higher than the population mean for X as the null hypothesis (Ho) vs the population mean of Y is more than 1/2 unit greater than the population mean for X as the alternative hypothesis (H1). What is the small sample t statistic for the test of Ho? Round to two decimal places (e.g., 1.23) Assume the measurements…
Please help on parts f, g, and h (subpart 3)
L4Q2.Which one of the following scatter plots best describes the given data?
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Use this dataset for your analysis software. Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Hospital 1 2 3 O No 4 5 6 7 8 9 10 11 No No 100 90 80 70 60 50 Cost-to-Charge Ratio Outpatient Inpatient Care Care 45 62 66 63 51 75 65 56 45 48 71 54 å Inpatient 55 80 76 75 62 100 88 64 50 54 83 100 65 Outpatient The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is ý = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes (b) Is the observation for Hospital 11 an outlier? Yes 75 (c) Is the observation for Hospital 5 an influential observation? O Yes O No (d) Is the observation for Hospital 5 an outlier? O Yes O No

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