ELEMENTARY STATISTICS-ALEKS ACCESS CODE
3rd Edition
ISBN: 9781265787219
Author: Navidi
Publisher: MCG
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Chapter 13, Problem 3CQ
To determine
To state:True/False: If we fail to reject the null hypothesis
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Consider the regression model Y = B0 + B1 X1 + B2 X2 + u. Suppose you want to
test the null hypothesis H0: B1 + B2 = 0, versus the alternative hypothesis H1: B1+
B2 != 0 (!= means "not equal to"). The data set consists of 100 observations.
(a) Suppose we use an F-statistic to conduct the test. What are the degrees of
freedom associated with this test statistic?
(b) Let G(.) be the CDF of the F-distribution for the F-statistic in part (b). Denote
the actual F-statistic by F_act. Suppose someone says that you should reject the null
at the 5% significance level if G(F_act)<0.05. Explain whether you agree with this
approach.
(c) Suppose you find that the F-test in part (b)-(c) and the test in part (a) yield
very different p-values. Do you think this result is correct? Briefly explain your
reasoning.
A, b-1, b-2
3) Consider a simple linear regression model Y = Bo + B₁x + €, where Y is the response variable,
x is the explanatory variable and € is the random error. Suppose we have n observations
(x₁, Y₁), ..., (xn, Yn) on x and Y. Write down the assumptions about the random errors
€1,..., En.
Chapter 13 Solutions
ELEMENTARY STATISTICS-ALEKS ACCESS CODE
Ch. 13.1 - Prob. 7ECh. 13.1 - Prob. 8ECh. 13.1 - In Exercises 9 and 10, determine whether the...Ch. 13.1 - Prob. 10ECh. 13.1 - Prob. 11ECh. 13.1 - Prob. 12ECh. 13.1 - Prob. 13ECh. 13.1 - Prob. 14ECh. 13.1 - Prob. 15ECh. 13.1 - Prob. 16E
Ch. 13.1 - Prob. 17ECh. 13.1 - Prob. 18ECh. 13.1 - Prob. 19ECh. 13.1 - Prob. 20ECh. 13.1 - Prob. 21ECh. 13.1 - Prob. 22ECh. 13.1 - Prob. 23ECh. 13.1 - Prob. 24ECh. 13.1 - Prob. 25ECh. 13.1 - Prob. 26ECh. 13.1 - Prob. 27ECh. 13.1 - Prob. 28ECh. 13.1 - Prob. 26aECh. 13.1 - Calculator display: The following TI-84 Plus...Ch. 13.1 - Prob. 28aECh. 13.1 - Prob. 29ECh. 13.1 - Prob. 30ECh. 13.1 - Confidence interval for the conditional mean: In...Ch. 13.2 - Prob. 3ECh. 13.2 - Prob. 4ECh. 13.2 - Prob. 5ECh. 13.2 - Prob. 6ECh. 13.2 - Prob. 7ECh. 13.2 - Prob. 8ECh. 13.2 - Prob. 9ECh. 13.2 - Prob. 10ECh. 13.2 - Prob. 11ECh. 13.2 - Prob. 12ECh. 13.2 - Prob. 13ECh. 13.2 - Prob. 14ECh. 13.2 - Prob. 15ECh. 13.2 - Prob. 16ECh. 13.2 - Prob. 17ECh. 13.2 - Dry up: Use the data in Exercise 26 in Section...Ch. 13.2 - Prob. 19ECh. 13.2 - Prob. 20ECh. 13.2 - Prob. 21ECh. 13.3 - Prob. 7ECh. 13.3 - Prob. 8ECh. 13.3 - Prob. 9ECh. 13.3 - In Exercises 9 and 10, determine whether the...Ch. 13.3 - Prob. 11ECh. 13.3 - Prob. 12ECh. 13.3 - Prob. 13ECh. 13.3 - For the following data set: Construct the multiple...Ch. 13.3 - Engine emissions: In a laboratory test of a new...Ch. 13.3 - Prob. 16ECh. 13.3 - Prob. 17ECh. 13.3 - Prob. 18ECh. 13.3 - Prob. 19ECh. 13.3 - Prob. 20ECh. 13.3 - Prob. 21ECh. 13.3 - Prob. 22ECh. 13.3 - Prob. 23ECh. 13 - A confidence interval for 1 is to be constructed...Ch. 13 - A confidence interval for a mean response and a...Ch. 13 - Prob. 3CQCh. 13 - Prob. 4CQCh. 13 - Prob. 5CQCh. 13 - Prob. 6CQCh. 13 - Construct a 95% confidence interval for 1.Ch. 13 - Prob. 8CQCh. 13 - Prob. 9CQCh. 13 - Prob. 10CQCh. 13 - Prob. 11CQCh. 13 - Prob. 12CQCh. 13 - Prob. 13CQCh. 13 - Prob. 14CQCh. 13 - Prob. 15CQCh. 13 - Prob. 1RECh. 13 - Prob. 2RECh. 13 - Prob. 3RECh. 13 - Prob. 4RECh. 13 - Prob. 5RECh. 13 - Prob. 6RECh. 13 - Prob. 7RECh. 13 - Prob. 8RECh. 13 - Prob. 9RECh. 13 - Prob. 10RECh. 13 - Air pollution: Following are measurements of...Ch. 13 - Icy lakes: Following are data on maximum ice...Ch. 13 - Prob. 13RECh. 13 - Prob. 14RECh. 13 - Prob. 15RECh. 13 - Prob. 1WAICh. 13 - Prob. 2WAICh. 13 - Prob. 1CSCh. 13 - Prob. 2CSCh. 13 - Prob. 3CSCh. 13 - Prob. 4CSCh. 13 - Prob. 5CSCh. 13 - Prob. 6CSCh. 13 - Prob. 7CS
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- You have a multiple regression that contains one dependent variable Y and four independent variables X1, X2, X3 and X4 with population coefficients β1, β2, β3 and β4. What is the F-test used for? a. To test the null hypothesis that all the coefficients β1, β2, β3 and β4 are zero b. To test the null hypothesis that β1 ≠ 0 c. To test the null hypotheses that only one of the coefficients is zero d. To test the null hypothesis that β2 ≠ 0arrow_forwardThe clinical trial for a new drug results in a p-value of 0.15. What decision should the scientists make? We accept the alternative hypothesis that the drug does work. We reject the alternative hypothesis that the drug does work. We accept the null hypothesis that the drug doesn't work. We cannot reject the null hypothesis that the drug doesn't work.arrow_forwardb. Is the model of any use in predicting y? Test the null hypothesis H0: β1=β2=...=β5=0 against the alternative hypothesis: At least one of the parameters β1, β2, ... , β5 is nonzero. Use α=0.10. The test statistic is enter your response here.arrow_forward
- You wish to conduct a hypothesis test to determine if a bivariate data set has a significant correlation among the two variables. That is, you wish to test the claim that there is a correlation (Ha:ρ≠0Ha:ρ≠0). You have a data set with 25 subjects, in which two variables were collected for each subject. You will conduct the test at a significance level of α=0.05α=0.05.Find the critical value for this test.rc.v. = ±±Report answers accurate to three decimal places.arrow_forwardYou wish to conduct a hypothesis test to determine if a bivariate data set has a significant correlation among the two variables. That is, you wish to test the claim that there is a correlation (Ha:ρ≠0Ha:ρ≠0). You have a data set with 25 subjects, in which two variables were collected for each subject. You will conduct the test at a significance level of α=0.05α=0.05.Find the critical value for this test.rc.v. = ±arrow_forwardAt the α = 0.01 level of significance, what is your conclusion? You cannot reject the null hypothesis; you do not have enough evidence to say that caffeine affects test performance. You can reject the null hypothesis; caffeine does appear to affect test performance. You cannot reject the null hypothesis; caffeine does appear to affect test performance. You can reject the null hypothesis; you do not have enough evidence to say that caffeine affects test performance.arrow_forward
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