DOC PREVIEW
WCU ECO 252 - ECO 252 Third Hour Exam

This preview shows page 1-2-3-4 out of 11 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 11 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

251y0032 11/28/00 ECO251 QBA1 Name _______key_________ THIRD EXAM Section Enrolled: MWF TR 10 11 12:30 NOVEMBER 21, 2000 Part I. Do all the Following (10+ Points) Show your work! Please indicate clearly what sections of the problem you are answering! If you are following a rule like    xaEaxE  please state it! If you are using a formula, state it! If you answer a 'yes' or 'no' question, explain why! Assume that the following joint probability table corresponds to two variables x and y 25.35.40.15.05.05.05.20.10.05.10.25.420210yyPxa. Are x and yindependent? Why?(2)b. Compute x, the standard deviation of x. (2)c. Compute xy, the covariance of x and y, and interpret it. (3)d. Compute xy, the correlation of x and y, and interpret it. (2)e. Find  2 yxP (2)f. yx  can take the following values: 0, 1, 2, 3, 4, 5 and 6. Write out the distribution of yx  by making a list with these values and their probabilities (2)g. (i) Find the mean and standard deviation of yx  from the table you just made. (2) (ii) Show that they are the same as the values of the mean and standard deviation of yx  that you would have gotten using the method you used in the last part of Graded Assignment 2. (2)Solution:a) Check for independence: First you need to find  xP and  yP. Look at the upper left hand probability below. Its value is .25 and it represents     00  yxP . If x and y were independent , we would have     00  yxP      16.40.40.00  yPxP. Since this is not true, we can say that x and y are not independent..        40.570.135.185.00.100.135.000.050.035.000.025.35.40.00.440.100.000.170.000.025.35.40.15.05.05.05.20.10.05.10.25.42021022xPxxxPxPyyPyyyPyPx To summarize  1xP,   85.0xxPxEx,  35.122xPxxE, 1yP,   7.1yyPyEy and  4.522yPyyE251y0032 11/28/00                           0.22.12.00.02.04.00.00.00.00.04215.4105.4005.2205.2120.2010.0205.0110.0025.xyxyPxyE      555.07.185.00.2 yxxyxyExyCov,  6275.085.035.12222xxxE and   51.27.14.52222yyyE. So that 44223.051.26275.0555.0yxxyxy. (79215.0x,5843.1y)b) Compute x, the standard deviation of x. (2) Above, it says  6275.085.035.12222xxxE and 79215.0xc) Compute xy, the covariance of x and y, and interpret it. (3) Above, it says     555.07.185.00.2 yxxyxyExyCov Since this is positive x and y seem to move together; if one rises, the other also tends to rise.d) Compute xy, the correlation of x and y, and interpret it. (2) Above, it says44223.051.26275.0555.0yxxyxy. If we square this correlation, we get .1956. Though the positive sign indicates that x and y seem to move together, .1956 is quite small on a zero to one scale, so the correlation is rather weak.251y0032 11/28/00e) Find  2 yxP (1) the original table is copied below, along with a second table with the sums ofx and y .15.05.05.05.20.10.05.10.25.420210yx 654432210420210yxThere are two ways to get 2: by adding 0x and 2y, or by adding 2x and 0y. The joint probability of the first pair is .10 and the joint probability of the second pair is .05, so the total probability is 15.05.10.2  yxPf), g) yx  can take the following values: 0, 1, 2, 3, 4, 5 and 6. Write out the distribution of yx  by making a list with these values and their probabilities (2) . (i) Find the mean and standard deviation ofyx  from the table you just made. (2) (ii) Show that they are the same as the values of the mean and standard deviation of yx  that you would have gotten using the method you used in the last part of Graded Assignment 2. (2) We put the probabilities together for each value of yx  in the same way we did  4 yxP. The table follows:         75.1040.525.160.180.160.10.055.200.190.15.625.05.540.10.460.20.330.15.210.10.1025.02yxPyxtotalyxPyxyxPyx So  55.2 yxE and   75.102 yxE. This means that  yxVar       2475.455.275.10222 yxEyxEand 0609.22475.4  yx. If we compute  yxE  and  yxVar  from the results of b-d we get exactly the same results as we did above.      55.27.185.0 yxyExEyxE and xyyxyxVar222     yxCovyVarxVar ,2 2475.4555.0251.26275.0 .4251y0032 11/28/00Part II. Do the following problems. ( Do at least 40 points – but remember anything beyond 40 points is extra credit. ). Show your work! Please indicate clearly what sections of a problem you are answering! And what columns you found table values in.. If you are following a rule like    xaEaxE  please state it! If you are using a formula, state it! If you answer a 'yes' or 'no' question, explain why! You must do part a) of problem 3! (3 point penalty!)1. Describe the meaning and give the probabilities for the problems below.Example: For the Hypergeometric Distribution,  P x1 2  when N n M  18 5 9, , and is the probability of between 1and 2 successes when a sample of 5 is taken from a population of 18 where there are 9 successes in the population. !13!5!18!6!3!9!7!2!9!13!5!18!5!4!9!8!1!92118593921859491CCCCCCxP 48529.a. Binomial  104 xP, when 35.p and 20n(2)b. Binomial  104 xP, when 85.p and 20n(2)c. Poisson  104 xP, when 8m (2)d. Geometric  104 xP, when 35.p (2)e. No meaning is needed for the


View Full Document

WCU ECO 252 - ECO 252 Third Hour Exam

Documents in this Course
Load more
Download ECO 252 Third Hour Exam
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view ECO 252 Third Hour Exam and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view ECO 252 Third Hour Exam 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?