ne ite i ti zi t 3. To investigate the association between eye-colour of husband and eye-colour ofwife, the fòlnowing data are available :Husbands with light-eyes and wives with not-light eyesHusbands with not light eyes and wives with light-eyesHusbands with not-light eyes and wives with not-light eyesHusbands with light-eyesDo you find any inconsistency in the above data?414260238400Hi

Answered: Image /qna-images/answer/84934c0d-bf71-4718-a3d4-bac084c582ce.jpg

Answered: neite i ti ai t 3. To investigate the…

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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Which of the following choices could be the Pearson correlation between the x and y variables shown in the scatter plot shown here? a) .934 b) -.934 c) 1 d) 0
The correlation between midterm and final grades for 300 students is 0.620. If 5 points are added to each midterm grade, the new r will be: a. 0.124 b. 0.57 c. 0.62 d. 0.744
Suppose the correlation between variables x and y isr = – 1. Also suppose that the data contains the points (6, 14) and (2, 18). Finally, suppose that the x-values in the data set are: æ 2 3 5 6 8 Make a scatterplot of this data set. 20+ 19 18 17 16 15 14 13 12 10 8 6 6
An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
The following table shows the weekly sales, test scores & achievement ratings of 5 salespersons working for a local car dealership: Salesperson Weekly Sales (Y) Sales Aptitude Test Score (x1) Mechanical Achievement (x2) Walters 11 10 6 Sullivan 5 4 2 Obmer 8 1 4 Smith 12 7 5 Jones 4 3 1 Brown 6 5 3 Black 7 2 2 Calculate the multiple correlation coefficient.. Select one: a. 0.925 b. 0.952 c. 0.295 d. 0.592
*8. Calculate the coefficient of correlation between X and Y from the following data and calculate probable error. Assume 69 and 112 as the mean value for X and Y respectively. X : 78 89 99 60 59 79 68 61 Y : 125 137 156 112 107 136 123 108
4. Consider the following data: XINMASSN 1 2 3 4 5 6 7 y 6 7 5 4 3 1 2 a) Make a scatterplot of these data. The variable labeled "x" should be plotted along the x-axis. Describe the pattern. b) Find the correlation coefficient for these data.
Page 34 Compute the correlation coe cient, r, for the following table: X 10 y 5 12 15 16 1 4 6 18 1 9 7 8 1 25 12 14 17 3 6
Here are data for height and weight among 10 male college students.Height (cm) Weight (kg)159 48162 50161 52175 60174 64198 81172 58180 74161 50173 54A. Calculate the correlation coefficient for height and weight forthis group.B. Is the correlation coefficient statistically significant? Explain.
use. Do a conclusion about thiS 20.5 "reference" drugs that they imitate. One aspect in which ance times (second received the generic drug first, followed by the reference signed at random to the subjects. Subjects 1 through 10 matched pairs design. Numbers 1 through 20 were as- TABLE 20.5 Absorption extent for two drug first, followed by the generic drug. In all 20.50 Comparing two drugs. Makers of generic drugs must ght-hand and left. reads chow that they do not differ significantly from the Astep "reference" drugs that they imitate. One aspect in which Arugs might differ is their extent of absorption in the klood. Table 20.5 gives data taken from 20 healthy non- smoking male subjects tor one pair of drugs." This is a matched pairs design. Numbers 1 through 20 were as- signed at random to the subjects. Subjects 1 through 10 20. Subject Thread Th Right drug. Subjects 11 through 20 received the reference drug first, followed by the generic drug. In all cases, a washout period separated…

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