1.8 In hypothesis testing, the 'critical value' refers to...a. the threshold value defining the rejection region for a particular test.b. the threshold value beyond which (in absolute terms) the null hypothesis is accepted.c. the threshold value found in the chi-squared statistical table for a given significancelevel.d. the value determining the probability of accepting the null hypothesis.e. All of the above.1.9 In hypothesis testing, H₁ represents the...a. null hypothesisb. secondary hypothesisc. alternative hypothesisd. primary hypothesise. hypothesis1.10 Choose the correct statement:a. the probability of making a type I error is 1-ab. the probability of making a type II error is ac. the probability of making a type I and II error determined by the significance leveld. the probability of making a type I error is a²e.none of the above

1.8. In hypothesis testing, critical value is a point on the distribution of the test statistic…

Answered: 1.8 In hypothesis testing, the…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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(PLEASE HELP WITH 1, 2, AND 3. ) 1. Each individual outcome of an experiment is called Group of answer choices the sample space an experiment an individual a sample point 2. Any process that generates well-defined outcomes is Group of answer choices an experiment an event a sample point a sample space 3. The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects where order of selection is not important is called Group of answer choices combination multiple step experiment permutation None of these alternatives is correct.
Please solve the following 1 to 5 questions
Consider the following scenario: The significance level is 5% Of all tested hypotheses, 40% are true The statistical power is 40% What is the probability of the finding being true, given that the estimate is statistically significant? (State your answer as percentage without the percent symbol. For example, if you think the correct answer is 10%, just state 10)
Consider the experiment of a toss of two coins. A: observes one head.B: observes two heads. Find P(A) and P(B). Group of answer choices P(A) = 0.1 and P(B) = 0.2 P(A) = 0.25 and P(B) = 0.25 P(A) = 0.5 and P(B) = 0.25 P(A) = 0.25 and P(B) = 0.5 P(A) = 0.5 and P(B) = 0.5
Heteroskedasticity can occur in a regression model if (a) the functional form of the regression model is misspecified (b) the Breusch-Pagan test results in a large p-value (c) the White test results in a large p-value (d) the regression model includes too many independent variables (e) the Breusch-Pagan test statistic is smaller than the critical value
First present the equations used in the empirical test of the Heckscher-Ohlin- Vanek (HOV) model explaining all variables, vectors and matrices used. Then present both hypotheses of the HOV model and explain how they relate to the original Heckscher-Ohlin-Samuelson hypothesis.
Only 3
Finally consider the regression model with an extra covariate: Yi = Bo + B1x1i + B2x2; + €; Let 32=3.13, it's standard error s.e.(B1)=1.12 and assume n=811. Based only on this information, decide if it is useful to include X2i in the regression model. Carefully showing every step of your hypothesis test and explaining your answer. Use signifi- cance level a = .05.
3)Suppose we are testing a null hypothesis against a two-sided alternative, then the alternative can be written as: A. E(Y) > μY,0 B. E(Y) = μY,0 C. ≠ μY,0 D. E(Y) ≠ μY,0
3. A researcher is commissioned by a policy maker to conduct an empirical investigation. The researcher needs to collect data and hence asks the policy maker for a grant. After the grant application is approved the researcher demands for more financial support to collect more data and increase its sample size. The researcher claims that the advantage of a bigger sample size is removing the bias from estimation. < a) Explain omitted variable in linear regressions. < b) Based on what you learnt in this module, do you agree or disagree with the researcher's claim that "bigger sample size removes the omitted variable bias". Discuss. <
7 Which of the following statements about Type I and Type II errors is correct: a Type I: Do not reject a false null hypothesis. Type II: Reject a true null hypothesis. b Type I: Reject a false null hypothesis. Type II: Reject a true null hypothesis. c Type I: Reject a true null hypothesis. Type II: Do not reject a false null hypothesis. d Type I: Reject a true alternative hypothesis. Type II: Do not reject a false alternative.
Write both a null and research hypothesis for the following variables: study time and academic success exam scores and hours spent sleeping parental support and disciplinary conduct problems

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