le 8 4. Calculate the coefficient of correlation between X and Y series from the following data :SeriesNo. of pairs of observationsArithmetic meanStandard deviationSum of squares of adeviations from meandion of product deviations of X and Y series from their respective arithmetic means = 122.Y151525183.013-03136138viiShin

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Answered: le 8 4. Calculate the coefficient of…

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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Example77. Coefficient of variation of two series are 58% and 69%. Their standard deviations are 21.2 and 15.6 respectively (i) What are their arithmetic means
Withdrawal symptoms may occur when a person using a painkiller suddenly stops using it. For a special type of painkiller, withdrawal symptoms occur in 2% of the cases. Consider a random sample of 1600 people who have stopped using the painkiller. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p is the proportion of people in the sample who experience withdrawal symptoms. ? (b) Find the standard deviation of p.
A population is normally distributed with mean 18.6 and standard deviation 1.4. (a) Find the intervals representing one, two, and three standard deviations of the mean. one standard deviation (smaller value) (larger value) two standard deviations (smaller value) (larger value) three standard deviations (smaller value) (larger value) (b) What percent of the data lies in each of the intervals in part (a)? (Round your answers to two decimal places.) one standard deviation % two standard deviations % three standard deviations %
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8. A list of exam scores shows that the raw score of X = 50 corresponds to z = -2.00 and a raw score of X = 62 corresponds to z = +1.00. Find the mean and standard deviation for the distribution of raw scores.
4. A very large population has a mean of 180 and a standard deviation of 24. One day a sample of 64 observations is taken. On another day a sample of 100 observations is taken. Which of the following is true? The standard error of the mean will be smaller with 64 observations. It is impossible to determine any of the above given the available information. The standard error of the mean will be larger with 64 observations. The standard error of the mean will be the same with either 64 or 100 observations.
Andrew plans to retire in 40 years. He plans to invest part of his retirement funds in stocks, so he seeks out information on past returns. He learns that over the entire 20th century, the real (that is, adjusted for inflation) annual returns on U.S. common stocks had mean 8.7% and standard deviation 20.2%. The distribution of annual returns on common stocks is roughly symmetric, so the mean return over even a moderate number of years is close to Normal. What is the probability (assuming that past pattern of variation continues) that the mean annual return on common stocks over the next 40 years will exceed 10%? What is the probability that the mean return will be less than 5%?
2 Which of the following situation uses descriptive statistics? * The average age of students in statistics class is 17 years. From the past figures, MITIS population will reach 2000 in the year 2025. There is a relationship between smoking cigarettes and getting emphysema After tossing a coin and getting a head, it will be tail on the next toss.
5.
21. in a regression model if the error distribution is normally distributed then A. None B. Residual plot will give a line with 45angles with the X-axis. C. Normal probability plot will give a line with slope 1. D. Normal probability plot will give a line with 15° angles with the X-axis.
5. The following table includes the information about a monthly time series. Month Time Series January 21 February 17 March 19 April 24 When the exponential smoothing method with a = 0.1 is applied, what is the mean absolute deviation (MAD)? A. 20.796. В. 9.16. С. 3.05. D. 3.56. 6. The following table includes the information about a monthly time series. Month Time Series January 21 February 17 March 19 April 24 When the exponential smoothing method with a = 0.5 is applied, what is the mean square error (MSE)? A. 21.5. В. 25. С. 41. D. 13.67.
H0:μ=38.935H0:μ=38.935H1:μ≠38.935H1:μ≠38.935Your sample consists of 31 subjects, with a mean of 38.5 and standard deviation of 4.13.Calculate the test statistic, rounded to 2 decimal places. t=t=

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