Homework Answers
2- True
Reducing the size of the test will reduce the chances of making a Type I error but will also reduce the probability of rejecting the null hypothesis at all, increasing the probability of a type II error.
3- The T test i would use on the data.This test is like a inferential statistics to determine whether there is a significant difference between the means of two groups.
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Question 2 There is a trade off between Type 1 and Type 2 errors. True False...
TRUE OR FALSE 1. A type 2 error occurs when we reject a true null hypothesis...
TRUE OR FALSE 1. A type 2 error occurs when we reject a true null hypothesis 2. All Chi- Square tests are right tailed tests. 3. It is valid to use the correlation coefficient to describe the relationship between major and working-status of a group of college students 4. If we decrease the Type 1 error rate, the Type 2 error rate will increase (given the same sample) 5. As the value of correlation coefficent (r) gets closer to -1,...
There is typically a trade-off between efficiency and equity in markets True or False
There is typically a trade-off between efficiency and equity in markets True or False
The final agreed-to sample size is a trade-off between acceptable error and research cost. True or...
The final agreed-to sample size is a trade-off between acceptable error and research cost. True or False
Question 1 For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc True False Question...
Question 1 For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc True False Question 2 For ANOVA: the alternative hypothesis is: Mu1 ≠Mu2 ≠Mu3......etc. True False Question 3 Both ANOVA and Chi square tests are always right tail tests True False Question 4 For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) True False Question 5 Both F and Chi Square distributions vary with df True False Question...
True (T) or False (F) - 5 points (NO NEED TO EXPLAIN, JUST SAY WHETHER IT IS TRUE OR FALSE) B. 1. R-squared never decre...
True (T) or False (F) - 5 points (NO NEED TO EXPLAIN, JUST SAY WHETHER IT IS TRUE OR FALSE) B. 1. R-squared never decreases when you add more regressors. In panel data we can observe many individuals across more than one point in time. 2. 3. We want to test the effect of a speed limit change in New Mexico. When choosing a control state, we should try to find a state that also had a change in speed...
Question 1 When you declare a variable of type Single, it contains 0 by default. True...
Question 1 When you declare a variable of type Single, it contains 0 by default. True False Question 2 The following line declares an array that can contain whole numbers, with 10 elements. Dim Variables(9) As Integer True False Question 3 Once a variable is declared we can not change the variable's data type. True False Question 4 If A is False and B is True, then A Or B is True because A is False. True False Question 5...
This discussion question focus on selecting significance levels in order to avoid Type I or Type...
This discussion question focus on selecting significance levels in order to avoid Type I or Type II errors. While we wish to avoid both types of errors, in practice we have to accept some trade-off between them. We could reduce the chance of making a Type I error by making it very hard to rejectH0, but then we would probably make Type II errors more often. On the other hand, if we routinely reject H0, we would rarely be guilty...
Which of the following are type 1 or type 2 errors. a) You reject Ho, when...
Which of the following are type 1 or type 2 errors. a) You reject Ho, when H, is true. b) You do not reject, H, when H, is false. c) Null hypotheses: The average body temperature is 98.6°. Alternative hypotheses: The average body temperature is not 98.6°. You conclude not to reject that body temp average of 98.6°. when in reality it is not 98.60 d) Null hypotheses: The dropout rate for High school students is 23% Alternative hypotheses: The...
Test the hypothesis at α = 0.01 Describe what type I errors are in this context....
Test the hypothesis at α = 0.01 Describe what type I errors are
in this context. Compute the p-value for this test.
A 2 sided Confidence Interval for the mean is, in analogy to the 2-sided hypothesis test, a range of values under which you would fail to reject the null hypothesis By rewriting this statement about the rejection region, under the assumption the null hypothesis is true: into a statement about the interval for μ you construct the 2-sided...
The big trade-off is between efficiency and equity. True False The current approximate debt-to-GDP ratio is...
The big trade-off is between efficiency and equity. True False The current approximate debt-to-GDP ratio is (2018): 105% 379% 234% 77% Milton Friedman argued: drugs should be legalized. drugs should be illegal. that drugs were destroying the U.S. economy and they should be stopped at all costs. that drug laws should be strengthened. The fallacy of composition is an expression that means "other things being equal." a statement about the way the economic world ought to be. the error of...
True (T) or False (F) - 5 points (NO NEED TO EXPLAIN, JUST SAY WHETHER IT IS TRUE OR FALSE) B. 1. R-squared never decreases when you add more regressors. In panel data we can observe many individuals across more than one point in time. 2. 3. We want to test the effect of a speed limit change in New Mexico. When choosing a control state, we should try to find a state that also had a change in speed...
Which of the following are type 1 or type 2 errors. a) You reject Ho, when H, is true. b) You do not reject, H, when H, is false. c) Null hypotheses: The average body temperature is 98.6°. Alternative hypotheses: The average body temperature is not 98.6°. You conclude not to reject that body temp average of 98.6°. when in reality it is not 98.60 d) Null hypotheses: The dropout rate for High school students is 23% Alternative hypotheses: The...
Test the hypothesis at α = 0.01 Describe what type I errors are
in this context. Compute the p-value for this test.
A 2 sided Confidence Interval for the mean is, in analogy to the 2-sided hypothesis test, a range of values under which you would fail to reject the null hypothesis By rewriting this statement about the rejection region, under the assumption the null hypothesis is true: into a statement about the interval for μ you construct the 2-sided...
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