KAssume that the differences are normally distributed. Complete parts (a) through (d) below.8749.3 46.949.649.5ObservationX₁Y₁341 250.4 47.3 43.1 42.053.6 46.7 46.9 46.7(a) Determine di = X₁ - Y₁ for each pair of data.Observation1234548.850.5d₁(Type integers or decimals.)(b) Compute d and så.d= (Round to three decimal places as needed.)5649.951.167……….8U ↑Assume that the differences are normally distributed. Complete parts (a) through (d) below.P-value= (Round to three decimal places as needed.)Choose the correct conclusion below.O A. Do not reject the null hypothesis. There is sufficient evidence that μg <0 at the a= 0.05 level of significance.O B. Do not reject the null hypothesis. There is insufficient evidence that µ <0 at the a= 0.05 level of significance.O C. Reject the null hypothesis. There is insufficient evidence that Hd <0 at the α = 0.05 level of significance.O D. Reject the null hypothesis. There is sufficient evidence that μ <0 at the a = 0.05 level of significance.(d) Compute a 95% confidence interval about the population mean difference -The lower bound is

AS PER POLICY I HAVE CALCULATED 3 SUBPARTS PLZ REPOST FOR REMAINING PARTS WITH NOTE I NEED THIS…

Answered: (a) Determine d; = X₁ - Y₁ for each…

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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Match these values of r with the accompanying scatterplots: 1, -0.355, -0.718, 0.355, and 0.996. Scatterplot 1 Scatterplot 2 8- 6- 6- FUUS 4- 2-* 0- 0 0.2 0.4 0.6 0.8 1 X 4- 2- 0- 0 0.2 0.4 0.6 0.8 X > 15- 14- 13- 12- 11- Scatterplot 3 10+ . 0 0.2 0.4 0.6 0.8 X O A. Scatterplot 1, r=-0.355; Scatterplot 2, r = 1, Scatterplot 3, r = 0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 0.996 B. Scatterplot 1, r = 0.355; Scatterplot 2, r = 0.996, Scatterplot 3, r = -0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 1 O C. Scatterplot 1, r=-0.355; Scatterplot 2, r = 0.996, Scatterplot 3, r = 0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 1 O D. Scatterplot 1, r= 0.355; Scatterplot 2, r = 1, Scatterplot 3, r = -0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 0.996 8- 6- 4- 2- Scatterplot 4 0- 0 0.2 0.4 0.6 0.8 X 8- 6- 4- 2- 04 0 Scatterplot 5 . • 0.2 0.4 0.6 0.8 X ..
Below is data for two variables, X and Y. Answer the questions that follow. X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 3 -2 -1 4 1 2 4 3 -1 -1 1 1 ___ 6 4 1 ___ 1 0 0 7 6 2 2 ___ 4 4 r = ____
The data indicate the number of wins and the number of goals scored for teams in the National Hockey League after the first month of the season. No. of wins, x B 5 6 9 10 0.885 Part: 0/3 9 Part 1 of 3 5 3 No. of goals, y 10 16 20 23 28 21 11 12 No. of wins, x 11 7 13 5 7 No. of goals, y 20 11 10 20 29 12 17 (a) Find the equation of regression line and draw the line on the scatter plot, but only if r is significant. Round the slope and y-intercept to four decimal places, if necessary. r (Choose one) significant at the 5% level. X
Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.
Below is data for two variables, X and Y. Answer the questions that follow. X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 3 -2 -1 4 1 2 4 3 -1 -1 1 1 ___ 6 4 1 ___ 1 0 0 7 6 2 2 ___ 4 4 What is the missing value under the (X-MX)2 column?
d. Draw the regression line on the scatter diagram using the yp points.e. Find y for x = 50 x 20 10 30 40 60 70 y 20 20 30 50 60 80
3. Caloulate r and ŕ for the data set. -5 -4 -3 -2 -10 1. 4. 9. Calculate r. (Round to four decimal places as needed.) Calculate r =(Round to four decimal places as needed.)

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(a) Determine d; = X₁ - Y₁ for each pair of data. Observation 1 2 3 4 d₁ (Type integers or decimals.) (b) Compute d and sa- d= (Round to three decimal places as needed.) LO 5 6 7 8