(a) Determine the values of the sample mean and sample median. Hint: x, 18.49. Explain why they are different.=Recall that the sample mean, x, is the arithmetic average of the n observations in the study, X₁, X2... Xn- The sample mean is calculated by the following equation.X₁ + X₂ + + XnnThe given data is shown below.X =xX =n0.191.4218.49=1.69n0.22 0.25 0.31 0.34 0.40 0.54 0.57There are n=data values for the study. We are given the hint thatx, 18.49, which can be verified by finding the sum of all data values. Substitute these values into the formula tocalculate the sample mean, rounding to three decimal places.1.83 2.19 2.24 3.06 3.243

Answered: Image /qna-images/answer/cb7aa26f-5007-4f1f-be83-33f28944e395.jpg

Answered: (a) Determine the values of the sample…

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 correlation coefficient between variables X and Y is 0.68. What does this signify? a. When X increases by 1, Y increases by 0.68 b. When Y increases 1, X increases by 0.68 c. The variance shared by X and Y is 68% d. The variance shared by X and Y is less 20%
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Which value of r indicates a stronger correlation: r= 0.841 or r= - 0.949? Explain your reasoning. Choose the correct answer below. O A. r= 0.841 represents a stronger correlation because -0.949 > 0.841|. B. r= - 0.949 represents a stronger correlation because -0.949|> |0.841|. C. r= - 0.949 represents a stronger correlation because 0.841 > - 0.949. D. r= 0.841 represents a stronger correlation because 0.841 > - 0.949.
a. Calculate the sample covariance.X Y-3 -913 95 12b. Calculate the sample correlation.c. Describe in words the information given to us by the sample covariance and by the sample correlation.Explain how the correlation gives us more precise information.d. Explain why the covariance is not a good measure of the strength of the linear relationship between the twovariables.e. Sketch a scatterplot of a bivariate dataset with a correlation of 0.9f. Sketch a scatterplot of a bivariate dataset with a correlation of -0.3.
Choose the best statement to summarize the association shown between hat size and IQ in the scatterplot below. Hat Size O The scatterplot does not show a trend that would indicate an association between hat size and IQ scores. O As hat size increases, IQ scores tend to decrease. O As hat size increases, IQ scores tend to increase. Hat size causes IQ to increase.
Q2: Which of the following is the correct mean for the given data: -2, -1, 0, 1,2 (A) 2 (B) 0 (C) 2.5 (D) None of the above
R1
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.594. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.353. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O B. The coefficient of determination is 0.647. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors. O C. The coefficient of determination is 0.647. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O D. The coefficient of determination is 0.353. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors.
Find the mean, median, and mode(s) of the data in the following stem-and-leaf plot. The leaf represents the ones digit. 2 1 46 Part 1 of 3 Find the mean. Round your answer to one decimal place, if necessary. Mean: X Part 2 of 3 Find the median. Round your answer to one decimal place, if necessary. Median: S Part 3 of 3 Find the mode(s). If there is more than one, separate them with commas. O There is no mode. O There is at least one mode. 00.... Mode(s): 4799 X Ś Español
The box-and-whisker plots below depict the number of books read by 6th and 7th graders over the last year. 6th Graders 7th GradersE 8. 12 14 16 Which statement is supported by the plots? O The range of the number of books read by 6th graders is less than the range of the number of books read by 7th graders. O The mean number of books read by 6th graders is less than the mean number of books read by 7th graders. O The median number of books read by 6th graders is less than the median number of books read by 7th graders. The number of students in the 6th grade is less the number of students of students in the 7th grade.
The temperatures in °C, at midday in a German city during summer of 2017, were mersured for eight days and the results are recorded below. 21, 12, 15, 12, 24, T, 30, 24 The mean temperature was found to be 21°C. (a) Find the value of T. (b) Write down the mode. (c) Find the median.
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.506. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.256. 25.6% of the variation is explained by the linear correlation, and 74.4% is explained by other factors. O B. The coefficient of determination is 0.744. 25.6% of the variation is explained by the linear correlation, and 74.4% is explained by other factors. O C. The coefficient of determination is 0.744. 74.4% of the variation is explained by the linear correlation, and 25.6% is explained by other factors. O D. The coefficient of determination is 0.256. 74.4% of the variation is explained by the linear correlation, and 25.6% is explained by other factors.

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