Homework Answers
True. Even if the error term is not normally distributed, in large samples we can still compute approximately valid confidence intervals under the Gauss-Markov assumptions. Asymptotic analysis involves approximating the features of the sampling distribution of an estimator.
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5. Asymptotic normality In large samples, even if the error term is not normally distributed, we...
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed...
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to a
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed...
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to a
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed...
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed...
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed...
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in...
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed b. th...
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed b. they are approximately normally distributed in samples with less than 10 observations large enough sample sizes c. they have a constant mean equal to zero and variance equal to d. they have a constant mean equal to one and variance equal to o 2 In a multiple regression model, the OLS estimator is consistent if a. there is no correlation between the dependent...
1 a) Approximately 95% of all values of a normally distributed populations lie within how many...
1 a) Approximately 95% of all values of a normally distributed populations lie within how many standard deviations of the population mean b) A random sample of ten items is taken from a population. The items have the following values: 9 32 37 32 21 24 10 15 21 30. Find the point estimate for the confidence interval c) State what effect on the margin of error for a confidence interval each of the following will have. i) Increase sample...
Never forget that even small effects can be statistically significant if the samples are large. To...
Never forget that even small effects can be statistically significant if the samples are large. To illustrate this fact, consider a sample of 136 small businesses. During a three-year period, 14 of the 101 headed by men and 6 of the 35 headed by women failed. (a) Find the proportions of failures for businesses headed by women and businesses headed by men. These sample proportions are quite close to each other. Give the P-value for the test of the hypothesis...
The time required for Dr. B's students to complete the Statistics Exam is approximately normally distributed...
The time required for Dr. B's students to complete the Statistics Exam is approximately normally distributed with a mean of 40.4 minutes and a standard deviation of 2.2 minutes. Let X be the random variable "the time required for Dr. B's students to complete the Statistics Exam." 6. With the above setting what time marks the 90th percentile? A. 37.562 minutes B. 37.584 minutes C. 43.238 minutes D. 43.216 minutes E. None of the above 7. Which of the following...
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to a
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to a
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a they are approximately normally distributed in large enough sample sizes b. they are approximately normally distributed in samples with less than 10 observations c. they have a constant mean equal to zero and variance equal to a d. they have a constant mean equal to one and variance equal to o
1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed b. they are approximately normally distributed in samples with less than 10 observations large enough sample sizes c. they have a constant mean equal to zero and variance equal to d. they have a constant mean equal to one and variance equal to o 2 In a multiple regression model, the OLS estimator is consistent if a. there is no correlation between the dependent...
The time required for Dr. B's students to complete the Statistics Exam is approximately normally distributed with a mean of 40.4 minutes and a standard deviation of 2.2 minutes. Let X be the random variable "the time required for Dr. B's students to complete the Statistics Exam." 6. With the above setting what time marks the 90th percentile? A. 37.562 minutes B. 37.584 minutes C. 43.238 minutes D. 43.216 minutes E. None of the above 7. Which of the following...
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