For each of the following F values, indicate whether the F is statistically significant at the specified alpha level: a. F = 1.80, df = 4, 40 α = 0.01 b. F = 5.02, df = 3, 60, α = 0.001 c. F = 0.45, df = 3, 27, α = 0.05
For each of the following F values, indicate whether the F is statistically significant at the...
For each of the following t values (a-d), indicate whether the t statistic is statistically significant for a two-tailed test, at the specified alphas: t = 2.90, df = 25, α = 0.01 t = 2.20, df = 25, α = 0.05 t = 5.52, df = 10, α = 0.01 t = 2.02, df = 20, α = 0.05 CAUTION: GET ON THE RIGHT PAGE …..Make sure you use the correct table: pages 413-415 (the difference is the α:...
10. For each of the following P-values, state whether the result is statistically significant at the .10 level: a) P-.08 b) P.15 c) P .01 d) P .50
Quest 12 UI 20 CPU U0:39 Determine whether the given correlation coefficient is statistically significant at the specified level of significance and sample size. r = 0.401, a = 0.01, n = 16 Answer 2 Points Tables I Key Yes, the correlation coefficient is statistically significant No, the correlation coefficient is not statistically significant
sit 10. Which of the following statements are true? If false, T expiain briefly a) It is better to use an alpha level of 0.05 than an alpha Cl b) level of 0.01. b) If we use an alpha level of 0.01, then a P-value of 0.001 is st statistically significant. c) If we use an alpha level of 0.01, then we reject the null hypothesis if the P-value is 0.001. d) If the P-value is 0.01, we reject the...
Can someone explain each part of this?
98. The tail area above a test statistic value of z- 1.812 is 0.035. Determine whether each of the following statements is true or false. A) If the alternative hypothesis is of the form Ha: μ> μ , the data are statistically significant at significance level α 0.05. B) If the alternative hypothesis is of the form Ha: μ > μ, the data are statistically significant at significance level α-0.10. C) If the...
4- Indicate if the estimates are statistically significant at 0.1%, 1%, 5% or 10%. Regression summary output using Excel is as follows. SUMMARY OUTPUT Regression Statistics Multiple R 0.8811 R Square 0.7764 Adjusted R Square 0.7205 Standard Error 14.7724 Observations 16 ANOVA df SS MS F Regression 3 9091.7392 3030.5797 13.8874 Residual 12 2618.7008 218.2251 Total 15 11710.44 Coefficients Standard Error t Stat P-value Intercept 29.1385 174.7427 0.1668 0.8703 PFH -2.1236 0.3405 -6.2361 0.0000 PR 1.0345 0.4667 2.2164 0.0467 M...
Question #5: A statistics teacher wants to see whether there is a statistically significant difference in the ages of day students and night students. A random sample of 31 students is selected from each group. The data are given below. Test the claim that there is difference in the mean ages of the two groups. Use a 0.01 Day Students: 22 24 24 23 19 19 23 22 18 21 21 18 18 25 29 24 23 22 22 21...
II.18 The researchers also measured the number of esčape attempts during the medical procedure for each cat. A 95% confidence interval for the difference in mean num ber of escape attempts (per cat) was (Mtrained Huntrained and was given to be (-1.29, -0.17) attempts per cat. Suppose a nondirectional two-sample t test was conducted on these same data. State whether the following state- ments are true or false or cannot be determined without further computations. Explain why (a) The P-value...
State whether each of the following related samples t-tests is significant for a two-tailed test at a 0.05 level of significance. (a) t(30) = 3.510 Yes, the test is significant. No, the test is not significant. (b) t(16) = 2.565 Yes, the test is significant. No, the test is not significant. (c) t(12) = 2.046 Yes, the test is significant. No, the test is not significant. (d) t(60) = 1.975 Yes, the test is significant. No, the test is not...
1.Which variables are statistically significant at the 5%
level?
2.Which variables are statistically significant at the 10%
level?
3.Which variables are insignificant?
4.Please present the correlation matrix of the independent
variables.
5.Please run the White test for heteroskedasticity, with
cross-products AND PRESENT YOUR RESULTS. Please explain whether the
test is significant or not.
6.If the White test is significant, please present the
heteroskedasticity-consistent White regression results.
7.Can you test this model for autocorrelation? Why of why not?
If you do,...