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I. Say true or false. The area under a Probability density function is close to 1. a) b) The mean and variance of normal distribution are 0 and 1 respectively. _The chi-square is a special kind of gamma distribution with a = v/2 and B=3. _The Beta distribution is a special kind of Uniform distribution. _The small sample size imply less error in the estimation of a c) d) e) parameter. _If Variable Y is distributed Chis-square with 10 degrees of freedom, its variance is 5. If the sample size increase the width of the Confidence interval decreases. The standard Beta distribution is defined in the interval a to b. f) g) h) i) _If we can identify the value of the parameters of a gamma distributed function. we can evaluate the mean and variance of the distribution. j) If value of A =20 and B = 30 of a uniform distribution then the mean of the distribution is 28. _Type I error and type II error may increase as the sample size k) decrease. As B increase the power of the test increase. _Type I error is more serious than type II error _I the correlation coefficient between two variables is > 0.5, it implies there is strong relationship between the variables. The mean of Beta distribution with parameters a and B is aß. m) n) 0)

I. Say true or false. The area under a Probability density function is close to 1. a) b) The mean and variance of normal distribution are 0 and 1 respectively. _The chi-square is a special kind of gamma distribution with a = v/2 and B=3. _The Beta distribution is a special kind of Uniform distribution. _The small sample size imply less error in the estimation of a c) d) e) parameter. _If Variable Y is distributed Chis-square with 10 degrees of freedom, its variance is 5. If the sample size increase the width of the Confidence interval decreases. The standard Beta distribution is defined in the interval a to b. f) g) h) i) _If we can identify the value of the parameters of a gamma distributed function. we can evaluate the mean and variance of the distribution. j) If value of A =20 and B = 30 of a uniform distribution then the mean of the distribution is 28. _Type I error and type II error may increase as the sample size k) decrease. As B increase the power of the test increase. _Type I error is more serious than type II error _I the correlation coefficient between two variables is > 0.5, it implies there is strong relationship between the variables. The mean of Beta distribution with parameters a and B is aß. m) n) 0)

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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I. Say true or false. The area under a Probability density function is close to 1. a) b) The mean and variance of normal distribution are 0 and 1 respectively. _The chi-square is a special kind of gamma distribution with a = v/2 and B=3. _The Beta distribution is a special kind of Uniform distribution. _The small sample size imply less error in the estimation of a c) d) e) parameter. _If Variable Y is distributed Chis-square with 10 degrees of freedom, its variance is 5. If the sample size increase the width of the Confidence interval decreases. The standard Beta distribution is defined in the interval a to b. f) g) h) i) _If we can identify the value of the parameters of a gamma distributed function. we can evaluate the mean and variance of the distribution. j) If value of A =20 and B = 30 of a uniform distribution then the mean of the distribution is 28. _Type I error and type II error may increase as the sample size k) decrease. As B increase the power of the test increase. _Type I error is more serious than type II error _I the correlation coefficient between two variables is > 0.5, it implies there is strong relationship between the variables. The mean of Beta distribution with parameters a and B is aß. m) n) 0)
Transcribed Image Text:I. Say true or false. The area under a Probability density function is close to 1. a) b) The mean and variance of normal distribution are 0 and 1 respectively. _The chi-square is a special kind of gamma distribution with a = v/2 and B=3. _The Beta distribution is a special kind of Uniform distribution. _The small sample size imply less error in the estimation of a c) d) e) parameter. _If Variable Y is distributed Chis-square with 10 degrees of freedom, its variance is 5. If the sample size increase the width of the Confidence interval decreases. The standard Beta distribution is defined in the interval a to b. f) g) h) i) _If we can identify the value of the parameters of a gamma distributed function. we can evaluate the mean and variance of the distribution. j) If value of A =20 and B = 30 of a uniform distribution then the mean of the distribution is 28. _Type I error and type II error may increase as the sample size k) decrease. As B increase the power of the test increase. _Type I error is more serious than type II error _I the correlation coefficient between two variables is > 0.5, it implies there is strong relationship between the variables. The mean of Beta distribution with parameters a and B is aß. m) n) 0)
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