The critical value of F for an alpha level of 0.05 and 2 and 12 degrees of freedom is 3.88. if the observed F value of 6.67 is greater than 3.88. what happens to the null hypothesis and explain your position?
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- Assume we wanted to show that the true proportion of virginica iris seeds that fail to germinate is less than 20%. Let's say we tested at an alpha of 0.05, and found a p-vale of 0.082. Which of the following would be an appropriate conclusion and interpretation? A) With an alpha of 0.05, and a p-value of 0.082, we fail to reject the null and state we have insufficient evidence to support that the true proportion of virginica iris seeds that fail to germinate is less than 20%. B) With an alpha of 0.05, and a p-value of 0.0082, we reject the null and state we have sufficient evidence to support that the true proportion of virginica iris seeds that fail to germinate is less than 20%. C) With an alpha of 0.05, and a p-value of 0.082, we reject the null and state we have sufficient evidence to support that the true proportion of virginica iris seeds that fail to germinate is less than 20%. D) With an alpha of 0.05, and a p-value of 0.082, we fail to reject the null and state…Assuming all other factors are held constant, if the df value for a two-tailed t-test with a = .05 were increased from df =6 to df = 20, what would happen to the critical values for t?If the df value for a two tailed test with alpha =0.05 were to increase from df=5 to df=22,what would happen to the critical values for t?
- If X1 and X2 constitute a random sample of size n = 2from an exponential population, find the efficiency of 2Y1relative to X, where Y1 is the first order statistic and 2Y1and X are both unbiased estimators of the parameterThe test statistic of z= -1.90 is obtained when testing the claim that p<0.26. a. Using a significance level of a=0.01, find the critical value(s). b. Should we reject Upper H 0 or should we fail to reject Upper H 0?Dr. Chapman conducted an experiment in which participants watched paint dry for 30 minutes twice, once being paid $1 and once being paid $30. When comparing the samples, he calculated t = 3.57. He assumed α = .01 with df = 5, so the tcv = ±4.032. Because the calculated value was: A. greater than the critical value, Dr. Chapman can reject the null hypothesis. B. greater than the critical value, Dr. Chapman failed to reject the null hypothesis. C. less than the critical value, Dr. Chapman failed to reject the null hypothesis. D. less than the critical value, Dr. Chapman can reject the null hypothesis.
- The critical value of F for an alpha level of 0.05 and 2 and 12 degrees of freedom is 3.88. if the observed F value of 6.67 is greater than 3.88. what happens to the null hypothesis and explain your position?A test of H0H0:μ=1:μ=1 against HaHa:μ>1:μ>1 has test statistic zz = 1.74. Answer "Yes/Y" or "No/N" to the following questions. Is this test significant at the 2.5% level (αα = 0.025)? Is it significant at the 0.5% level (αα = 0.005)?If the t values in the table for a t-test are ± 2.15 at alpha level 0.05, which of following computed t value is needed in order to reject the null hypothesis? Group of answer choices – 2.35 – 1.35 1.35 2.1
- Assume we wanted to show that the true average height of students is less than 63 inches. Let's say we tested at an alpha of 0.05, and found a p-value of 0.0315. Which would be an appropriate conclusion and interpretation? A) With an alpha of 0.05, and a p-value of 0.0315, we reject the null and state we have sufficient evidence to support that the true average height of students is less than 63 inches. B) With an alpha of 0.5, and a p-value of 0.0315, we reject the null and state we have sufficient evidence to support that the true average height of students is less than 63 inches. C) With an alpha of 0.05, and a p-value of 0.0315, we fail to reject the null and state we have insufficient evidence to support that the true average height of students is less than 63 inches. D) With an alpha of 0.05, and a p-value of 0.0315, we fail to reject the null and state we have sufficient evidence to support that the true average height of students is greater than or equal to…If our significant value falls below alpha, which is set at .05, we are over 95% confident that the results did not happen by chance. true or false?The average effect size in social psychology is around d = 0.21. Conventionally, a sample over 30individuals is considered 'large.' If we are running an experiment for which we will perform atwo-tailed test t-test and we have 30 individuals in each of the two conditions, what is ourpredicted power? (use the standard alpha)