3. Sir Harold Jeffreys, doesn't like the way Fisher teaches statistics and decides to teach a class on 'Bayesian Statistics'. Toward the end of the quarter, he also asks his students to form teams of 1 to 4 individuals to work on a group project. Let Y be the team size for a specific group project in Jeffreys' class. The following table shows the cdf of Y: 1 3 4 P(Y < y) 0.12 0.38 0.75 1 (a) What is the probability that a team has two students in Jeffreys' class? (b) Compute the probability that a team in Jeffreys' class has at least 2 students. Compared to Fisher's from question 2, which class has a higher probability of having teams of at least two students? (c) Compute the expected team size in Jeffreys' class. Is it greater than the expected team size in Fisher's class?

Consider the following difference-in-differences estimator for the effect of a newgarbage incinerator on housing values. Rumor of a new incinerator being built in a townin Massachusetts began after 1978, and construction began in 1981. You have data onprices of houses that sold in 1978, and another sample of those that sold in 1981. Youdefine a dummy variable (y81) as equal to 1 if the house sold in 1981, and zero if thehouse sold in 1978. Your hypothesis is that the price of houses located near theincinerator will fall across those years relative to the price of more distant houses. Youdefine a house as being near the incinerator (nearinc) if it is within 3 miles of it. Housingprice (price) is measured in real terms, in 1978 dollars. You estimate the followingregression (standard errors are in parentheses): price = 82,517.23 + 18,790.29y81 -18,824.37nearinc            (2,726.91)      (4,050.07)       (4,875.32)  -11,863.90(y81 * nearinc)  (7,456.65) n=321   Interpret the coeffiecient…

3. Fill in the blank spaces of table B1 using information compiled in table B. Table B Breusch-Godfrey Serial Correlation LM Test: Prob. F(2,55) Prob. Chi-Square(2) F-statistic 11.70006 0.0001 Obs*R-squared 17.90823 0.0001 Table B1: Breusch-Godfrey Serial Correlation LM Test F-statistic: Probability: a. Write down the null and alternative hypotheses underlying Breusch-Godfrey serial correlation (autocorrelation) test. b. Will you accept or reject the null hypothesis based on the Breusch-Godfrey test for residual autocorrelation? Why or why not?

#26). Both photos are the same problem.

5. (10) A recent Gallup Organization Poll asked male and female Americans whether they were pro or pro choice when it comes to abortion issues. The results of the survey are as follows: life Opinion Pro-Life Pro-Choice Gender Men 195 200 Women 240 250 Test whether an individual's opinion regarding abortion is independent of gender at the a = 0.025 level of significance.

In each of the following scenarios there is something wrong. Describe what is wrong and give a reason for you the answer. 1) If you multiply a random vriable by 10, then the mean is multiplied by 10 and the variance is multiplied by 10. 2) When finding then mean of the sum of two random variables, you need to know the correlation between them.

2.)Use the following data where Y is the dependent and X is the independent variable: SALES EXPERIENCE Y ('000TL) X(Years) 114 61 129 135 117 6 17 11 7 12 Test the hypothesis that there is a significant correlation between Y and X at 1% level of significance.

Which of the following is not a property of the product moment correlation coefficient?     it is independent of sample size and units of measurement.     it is a measure of association between two variables.     it always lies between 1 and -1.     it implies a causal relationship between two variables.

1.A chi-square test for independence is being used to evaluate the relationship between two variables, one of which is classified into 2 categories and the second of which is classified into 4 categories. What is the df value for the chi-square statistic?   a. df = 2   b. df = 6   c. df = 7   d. df = 3