Consider following sample information from a population of size 200146128YX;Estimate population mean with a 95% confidence interval by using Ratio and Regression methodsof estimation. It is known that Y = 150.0.168180137110224 137206150157131163143130219197190175204176123144110

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Answered: Consider following sample information…

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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4. Use Descriptive Statistic tool on the Data Analysis to find the following: d. Standard Deviation е. Variance f. Range g. Skewness Table: 88 62 63 88 65 85 83 76 72 63 60 46 85 71 67 75 78 87 70 42 63 90 63 60 73 55 62 62 83 79 78 40 51 56 80 90 47 48 54 77 86 55 76 52 76 40 52 72 43 60
An experiment was conducted to determine if exposure to an advertisement would change attitude toward a product. Each subject’s attitude before and after exposure to the advertisement was recorded, using a valid ten point scale. The results indicated: Subject Attitude Post Exposure Attitude Pre Exposure 1 6 4 2 8 5 3 6 6 4 4 3 5 7 2 6 6 3 7 9 6 8 7 6 9 8 5 10 8 6 Set up hypotheses and test to determine if the mean attitude toward the product increased as a result of exposure to the advertisement. (Note: these samples must be regarded as dependent, as each subject served as both a control (pre-exposure) and a treatment (post exposure). Fully interpret your result.
The following bivariate data set contains an outlier. x y 47.6 -450.2 49.6 3875.1 50.7 810.4 45 2185.1 43.7 -2798.3 49.4 2559.2 47.1 -2470.1 54.7 -529.3 50.7 -782.7 70.6 1759.5 52 -300.9 50.4 -2081.5 46.7 584.2 48.3 -1207.1 151.3 -22818.5 What is the correlation coefficient with the outlier?rw = [Round your answer to three decimal places.]What is the correlation coefficient without the outlier?rwo = [Round your answer to three decimal places.]Would inclusion of the outlier change the evidence for or against a linear correlation? Yes. Including the outlier changes the evidence regarding a linear correlation. No. Including the outlier does not change the evidence regarding a linear correlation. Question for thought: Would you always draw the same conclusion with the addition of an outlier?
For the data given below, fill in the blanks, using Formulas, Descriptive Statistics and Regression outputs. Mean of X2: 1) 28th Percentile of X1: 2) 3) Standard Deviation of X2: 4) Y XI X2 10 20 400 70 11 30 450 97 12 Median of X2: 10 350 54 5) Correlation Between X1 and Y: Minimum value of X2: 13 20 375 40 14 6) 30 400 65 15 9) bo : 25 400 94 16 7) b,. 30 450 53 17 8) 20 300 35 10) 11) 18 SSR: 10 300 75 19 SSE: 40 300 53 ST: F Statistics: 20 12) Regression output 20 350 64 13) 14) 21 30 450 68 22 Adjusted R Square: 10 400 96 23 15) MSE: 30 325 54 24 16) MSR: 25 17) Standard Error of Regression: 18) 19) 20) 26 Standard error of X2: 27 t-statistics of X2: 28 Fit the regression equation: 29 30 Sheet1
Consider the following population data; 0, -4, 2, -8, 10 a) Calculate the population variance. b) Calculate the population standard deviation
The data shows the ages of 10 Grade 11 students. Compute : Range Interquartile Range Variance Standard Deviation
The data given is shown below 40 40 43 46 44 49 51 54 46 51 47 49 49 45 45 44 45 41 49 52 51 54 50 51 41 52 53 50 46 56 42 42 40 42 49 47 51 48 46 57 48 55 49 46 57 44 49 43 44 43 51 48 48 46 49 Class width = 6 Find the following: A. standard deviation B. Variance C. Percentile (50th)
From the following data compute Quartile Deviation: Weight in Kg. 45-49 *50-54 55-59 60-64 65-69 70-74 Freq. 62 272 314 75 22
The following bivariate data set contains an ou tlier. y 12.4 -410.6 13 -1023.1 17 1871.8 57.6 963.8 32.8 -915.7 17.5 -825.8 20.6 1984.8 48.9 -3054.2 47.1 -545.8 59.4 -1075.9 56.1 -3731.6 42.8 2552.5 34.9 -2246.9 32.9 1427.8 200.4 1088 What is the correlation coefficient with the outlier? What is the correlation coefficient without the outlier? rwo = Would indusion of the outlier change the evidence for or against a significant linear correlation? O No. Induding the outlier does not change the evidence regarding a linear correlation. O Yes. Induding the outlier changes the evidence regarding a linear correlation.
1. Find the sample standard deviation from the following data. 1420,1223,988,694,730,836,721,742,541,623,1449,950 2., Construct a 99%confidence interval for the population mean μ.

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