A magazine claims that the mean amount spent by a customer at Burger Stop isgreater than the mean amount spent by a customer at Fry World. The results forsamples of customer transactions for the two fast food restaurants are shownbelow. At x = 0.05, can you support the magazine's claim? Assume the populationvariances are equal. Assume the samples are random and independent, and thepopulations are normally distributed. Complete parts (a) through (e) below.Burger StopX1 = $11.66S1 = $0.87n₁ =13Fry WorldX2 = $11.03$2 = $0.84n₂ = 11

Given,the two fast-food restaurants and the mean money spent by the customers in both…

Answered: A magazine claims that the mean amount…

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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The Variance of Population for the following data:X = 155, 175, 125, 155, 175, %3D 195, 185, 525, 255, 425, 355, 455 is : * O 19350 O 15403 O 18600 O 17400
The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. X. y 12 140 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 15 170 11 130 13 160 15 180 10 120 14 140 10 150 a. Which graph below shows a scatter plot for these data? O A. OB. C. O D. Ay 200-4 Ay 200- 本y 15- Ay 15- 0+ 10 0+ 10 10+ 15 10 15 200 200 Click to select your answer(s).
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Please help with the areas marked with an X To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 19 29 16 25 27 15 23 32 19 21 28 18 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use . Sum of Squares, Treatment X Sum of Squares, Error X Mean Squares, Treatment X Mean Squares, Error X Compute the values below (to decimals, if necessary). Calculate the value of the test statistic (to decimals)_______x_________. b. At the level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers and . Calculate Fisher's LSD Value (to decimals)______X______
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How do I interpret the 6 characteristics whith the data given? Column Mean Median Range Variance Std. dev. 1 - Cholesterol 253.92857 268 218 2276.291 47.710492
please answer 1 and 2
The correlation coefficient between variables X and Y is 0.62. What does this signify? Question 8Answer a. When Y increases 1, X increases by 0.62 b. When X increases by 1, Y increases by 0.62 c. The variance shared by X and Y is less 20% d. The variance shared by X and Y is 62%
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 44.2, 34.5, 38.2, 32.7, 40.9 Part A- List the z scores for the normal quantile plot. Part B- Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form (x,y), where x is the sorted arm circumferences in ascending order, and y is the corresponding z score. Part C- Do the data come from a normally distributed population?
The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 100 10 15 140 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 11 110 13 130 14 150 11 120 15 170 12 140 a. Which graph below shows a scatter plot for these data? O A. OB. OC. OD. 15- 180- 180- 15- 10- 10- 180 10 15 10 180 There appears to be linear relationship between x and y. b. What is the correlation coefficient? r= (Round to two decimal places as needed.)

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