Based on the table above, which statement below is correct. a. The results of a paired t-test indicates a significant difference between conditions (t = 2.076, df = 11, p = 0.035) b. The results of a two sample t-test indicates a significant difference between conditions (t = 2.076, df = 11, p = 0.065) c. The results of a paired t-test indicates no significant difference between conditions (t = 2.076, df = 11, p = 0.065) d. The results of a two sample t-test indicates a significant difference between conditions (t = 2.076, df = 11, p = 0.035) e. The results of a paired t-test indicates a significant difference between conditions (t = 2.076, df = 11, p = 0.065) ○ f. The results of a paired t-test indicates no significant difference between conditions (t = 2.076, df = 11, p = 0.035) g. The results of a two sample t-test indicates no significant difference between conditions (t = 2.076, df = 11, p = 0.035) h. The results of a two sample t-test indicates no significant difference between conditions (t = 2.076, df = 11, p = 0.065) pre-test post-test Mean Variance -2.25 0.75 9.30 13.30 Observations 12 12 Pearson Correlation 0.9478 Hypothesized Mean 0 Difference df 11 t Stat 2.076 P(T<=t) one-tail 0.035 t Critical one-tail 1.796 P(T<=t) two-tail 0.065 t Critical two-tail 2.201

Choose the correct answer.If the P-value of a test of significance is 0.999 then:A. the null hypothesis should be rejected.B. the null hypothesis should not be rejected.C. the alternative hypothesis provides a plausible explanation of the data.D. Both A and C are true.

Listed in the accompanying table are heights (in.) of mothers and their first daughters. The data pairs are from a journal kept by Francis Galton. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test the claim that there is no difference in heights between mothers and their first daughters. Mother 64.0 66.0 63.0 62.0 66.5 66.0 65.0 60.0 67.0 63.0 Daughter 67.0 66.5 70.5 66.0 61.0 66.0 65.5 65.0 67.0 65.0 In this example, Hd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the daughter's height minus the mother's height. What are the null and alternative hypotheses for the hypothesis test? Ho: Ha = 0 in. H₁ Hd 0 in. (Type integers or decimals. Do not round.) Identify the test statistic. t= (Round to two decimal places as needed.)

Kenneth, a competitor in cup stacking, claims that his average stacking time is 8.2 seconds. During a practice session, Kenneth has a sample stacking time mean of 7.8 seconds based on 11 trials. At the 4% significance level, does the data provide sufficient evidence to conclude that Kenneth's mean stacking time is less than 8.2 seconds? Accept or reject the hypothesis given the sample data below. H0:μ=8.2 seconds; Ha:μ<8.2 seconds α=0.04 (significance level) z0=−1.75 p=0.0401 Select the correct answer below:   a. Do not reject the null hypothesis because the p-value 0.0401 is greater than the significance level α=0.04.   b. Reject the null hypothesis because the p-value 0.0401 is greater than the significance level α=0.04.   c. Reject the null hypothesis because the value of z is negative.   d. Reject the null hypothesis because |−1.75|>0.04.   e. Do not reject the null hypothesis because |−1.75|>0.04.

A dietitian wishes to see if a person's cholesterol level will change if the diet is supplemented by a certain mineral. Seven subjects were pretested and then took the mineral supplement for a six-week period. The results are shown below in the table. Use a paired samples t-chart at a = 0.01 significance level to see difference (Before - After) between the cholesterol levels. State the hypotheses and conclusion. Also, conduct a 99% confidence interval. Subject 1 Before 210 After 190 2 205 170 3 208 210 4 192 188 5 178 173 6 244 228 7 211 198

What does the t test for the difference between the means of 2 independent populations​ assume?   A. The sample sizes are equal.   B. The sample variances are equal.   C. The populations are approximately normal.   D. All of the above

The claim is that for a smartphone​ carrier's data speeds at​ airports, the mean is μ=11.00 Mbps. The sample size is n=12 and the test statistic is t=−1.683.   what is the pvalue