The following bivariate data set contains an outlier.y53.260.858.640.833.874.2-27.970.27447.982.968.347.5-5113968.853.943.8-1.819.825.6-6.55.537.447.967.1295.8-274.7What is the correlation coefficient with the outlier?rw =What is the correlation coefficient without the outlier?Two = For the next questions, I want you to consider that there is more than the existence or non-existence ofcorrelation. You can have:Strong positive correlation• Moderate positive correlation• No correlation• Moderate negative correlation• Strong negative correlationWould inclusion of the outlier change the evidence for or against a significant linear correlation at 5%significance?O Yes. Including the outlier changes the evidence regarding a linear correlation.O No. Including the outlier does not change the evidence regarding a linear correlation.Would you always draw the same conclusion to the above question with the addition of any outlier?O Yes, any outlier would result in the same conclusion.O No, a different outlier in a different problem could lead to a different conclusion.Explain your answer to the second multiple-choice question.

Answered: Image /qna-images/answer/713e63e3-3fa9-4cbc-9b45-e12d16360357.jpg

Answered: The following bivariate data set…

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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Calculate the median for the following frequency distribution: Marks No. of Students Marks No. of Students 45-50 10 20-25 31 40-45 15 15-20 24 35-40 26 10-15 15 30-35 30 5-10 25-30 42
Q. No. 1. Use following sample home prices ($000s) to answer the questions: 48.8 995.9 209.0 175.0 628.3 298.0 218.9 111.0 212.3 2325.0 958.0 212.6 a) What is the sample median home price? b) Do the data contain any outliers? c) Determine variance and standard deviation. d) Develop a Box Plot for the home prices. e) Determine 8th decile. f) Determine the coefficient of skewness using the software method. g) In the given case, which is the better measure of Central Tendency? Why? h) At least what percent of home prices will lie between two standard deviations of mean?
13)
The following bivariate data set contains an outlier. x y 33.3 -236 48 2775.5 35.8 113.6 37.2 -847.7 36.7 -771.2 27.9 -497.6 42.1 647.7 26.2 1112.5 17.1 -912.3 62.5 -1162.1 33.6 -423.5 48.9 18.3 32.4 -513.2 45.2 1011.7 198.7 -1199 This data can be downloaded as a *.csv file with this link: Download CSVWhat is the correlation coefficient with the outlier?rw = What is the correlation coefficient without the outlier?rwo = Would inclusion of the outlier change the evidence for or against a significant linear correlation? No. Including the outlier does not change the evidence regarding a linear correlation. Yes. Including the outlier changes the evidence regarding a linear correlation.
The accompanying dala gives the results of a survey on the number of hours spent online per week on a certain social networking website. Determine if the mean number of hours spent online per week is the same for males as it is for females. Assume that the population variances are unequal Click the icon to view the social media survey data. Is there sufficient evidence at the 0.05 level of significance that the mean number of hours spent online per week is the same for males as it is for females? Determine the null hypothesis, Ho, and the alternative hypothesis, H₁. Let females be population 1 and males be population 2. Survey data Ho H₁ (Type integers or decimals. Do not round.) Gender Female Hours online/week Gender Hours online/week D 4 Male Female 11 Male Female 9 Male Female 8 Male Female 7 Male Female 13 Male Female 2 Male Female 6 Male Female 2 Male Female 6 Male Female 7 Make Female 3 Male Female Female Female Female Female Female Female Female 46021337 Mole 0653T50478145 8…
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Here is a sample data set that appears to be nearly normal (as suggested by the histogram). 85.4 63.6 85.7 85.6 92.4 89.8 84.2 82.2 88 76.5 87.6 79 61.4 88.6 89.4 95 96.4 76.3 92.4 79.8 82.2 86.5 76.7 90.7 85.4 94 75.8 79.8 92.4 74.3 65 81.4 75.5 76.7 76.5 84.2 78.6 82.9 84.7 74.9 84 91.2 84.4 68.2 76 75.8 74.6 77.3 79.8 69.2 82.9 74.6 71.7 76.7 80 82.2 91.8 74.9 72.7 74.8 84 80.6 67.6 71.7 79.6 81.2 78.2 83.7 82.2 71.4 What is the mean of this data set? (Report answer using the rules suggested in class: 1 more d.p. than the data.)M=What is the standard deviation of this data set? (Report answer using the rules suggested in class: 2 more d.p. than the data.)SD=
3. The following are the number of customers on a certain day in three milktea shops. Calculate the mean, mode, range, standard deviation, coefficient of variation measures. Compare its variability. milktea: 14, 15, 16, 17, 18, 19, 21 Gongcha: 22, 22, 24, 25, 28, 32, 32 Infinitea: 10, 11, 12, 12, 12, 15, 16
The following bivariate data set contains an outlier. x y 74.8 -4.1 64.8 22.7 63.4 26.8 83.5 89.7 67 18 68.4 95.5 57.1 29.6 74.6 134.1 66.9 139.6 73.5 71.5 78.8 48.6 82.6 111.2 81.4 72.2 54.9 -16.7 169.3 -485.6 What is the correlation coefficient with the outlier?rw = What is the correlation coefficient without the outlier?rwo = For the next questions, I want you to consider that there is more than the existence or non-existence of correlation. You can have: Strong positive correlation Moderate positive correlation No correlation Moderate negative correlation Strong negative correlation Would inclusion of the outlier change the evidence for or against a significant linear correlation at 5% significance? No. Including the outlier does not change the evidence regarding a linear correlation. Yes. Including the outlier changes the evidence regarding a linear correlation. Would you always draw the same conclusion to the above question with the…
5:23 Pulse = 101 of ... 3.00-3.79 3.80-4.59 4.60-5.39 5.40-6.19 6.20-6.99 Pulse > 11 5 3 0 1 Chosen classes can vary. Aa 34. Twenty-nine executives reported the number of telephone calls made during a randomly selected week as shown here. Construct a stem and leaf plot for the data and analyze the results. 22 14 12 14 12 9 54 9 54 12 16 12 12 14 49 10 14 8 21 37 28 36 22 9 33 58 31 41 19 3 18 25 28 52 35. The National Insurance Crime Bureau reported that these data represent the number of 51 G
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.
Following is a list of z-scores. Suppose you decide an outlier would be more than 1.5 standard deviations from the mean. Choose all z-scores that would be considered an outlier using this rule. Group of answer choices z = -1.63 z = 5 z = -2.33 z = 1.28 z = 1.48 z = 0 z = 0.05

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