When a true null hypothesis is rejected in a hypothesis test, the researcher or analyst has A. committed a Type I error B. committed a Type Il error C. made the correct decision. D. to perform the study again.
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![When a true null hypothesis is rejected in a hypothesis test, the researcher or analyst has
A. committed a Type I error
B. committed a Type Il error
C. made the correct decision.
D. to perform the study again.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb0d97fc9-ca5f-40f4-87ff-8aef8ebb75e5%2Fb2ef4829-8fab-4358-8006-891ee8f494c5%2Fomb1pf6_processed.jpeg&w=3840&q=75)
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- When a true null hypothesis is rejected in a hypothesis test, the researcher or analyst hasA. committed a Type I errorB. committed a Type II errorC. made the correct decision.D. to perform the study again.asapPlz do it answer quickly fastWhat is sampling? Explain the differences between probability and nonprobability samples and identify the various typesof each
- please quickly thanks !!State whether you made a Type I error, a Type II error, or the correct conclusion. b. Children in your community have on average greater than or equal to 5.2 books at home, and you reject the hypothesis that they have greater than or equal to 5.2 books.Suppose you have time series data and estimate the following model y = β0 + β1x1 + ε. When you estimate the model, you find that there are correlated observations (serial correlation). You choose to ignore this issue. What are the consequences? A/ The predictions are biased, but the hypothesis tests are valid. B/ The predictions are not biased, but the hypothesis tests are invalid. C/ Both the predictions and the hypothesis tests are valid. D/ Both the predictions and the hypothesis tests are not valid. Choose the correct answer and briefly explain.
- What is the impact of autocorrelation on the likelihood of rejecting the null hypothesis of no statistical significance of the model estimates? (a) It increases the likelihood of rejecting the null hypothesis. (b) It decreases the likelihood of rejecting the null hypothesis. (c) It has no effect on the likelihood of rejecting the null hypothesis. (d) It makes the estimates biased and increases the likelihood of rejecting the null hypothesis. (e) It makes the estimates unbiased and decreases the likelihood of rejecting the null hypothesis.5. The null hypothesis to test for heteroskedasticity is HO: homoskedasticity * True O False44 Which of the following is not true with probability sampling? a. Sampling units are selected by chance as opposed to the judgement of the researcher b. Estimates are statistically projectable to the population. c. The results will always be more accurate than non-probability sampling. d. The number of elements to be included in the sample set can be pre-specified. Clear my choice
- This simulation generates random outcomes for probabilistic factors which imitate the randomness inherent in the original problem. а. Масго Еcono O b. Monte Carlo O. Multisim d. MatLAB11IV. 得分 What information can be obtained from this summary output? a to enter = 0.05, a to remove = 0.05 Analysis of Variance Source DF Adi sS Adi MS F-Value P-Value www Regression 4 37260200 9315050 45. 23 0. 000 0. 000 0. 000 Poten 1 4727687 4727687 22. 95 AdvExp 4630364 4630364 22. 48 Share 1 3009401 3009401 14. 61 0.001 Accounts 1 2129972 2129972 10. 34 0.004 Error 20 4119349 205967 Total 24 41379549 R-sq R-sq (adi) R-sq (pred) 453. 836 90. 04% 88. 05% 85. 97% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant -1442 424 -3. 40 0,003 Poten 0. 03822 0. 00798 4. 79 0. 000 1. 83 AdvExp 0. 1750 0. 0369 4. 74 0. 000 1. 15 Share 190. 1 49. 7 3. 82 0.001 1.74 Accounts 9. 21 2. 87 3. 22 0. 004 1. 99 Fits and Diagnostics for Unusual Observations Std Obs Sales Fit Resid Resid www 10 4876 3942 934 2. 14 R