Answer:
The results are statistically significant.
Explanation:
Retain the null hypothesis means do not reject the null hypothesis, and we do not reject the null hypothesis when p-value is greater than 0.05. When confidence interval contains zero, this means we do not reject the null hypothesis that two population means are equal.
The results are statistically significant means we reject the null hypothesis. So, this statement is not equivalent to other three statements.
Answer C is not correct. Which statement is not equivalent to the other three for a test comparing two sample means? Re...
Which statement is equivalent to a statistically significant independent t-test? Select all that are true. Retain the null hypothesis. The p-value is less than .05. The 95% confidence interval for the difference of means does not contain 0. Alpha is greater than .05.
The MINITAB printout shows a test for the difference in two population means. Two-Sample T-Test and CI: Sample 1, Sample 2 Two-sample T for Sample 1 vs Sample 2 N Mean StDev SE Mean Sample 1 6 28.00 4.00 1.6 Sample 2 9 27.86 4.67 1.6 Difference = mu (Sample 1) - mu (Sample 2) Estimate for difference: 0.14 95% CI for difference: (-4.9, 5.2) T-Test of difference = 0 (vs not =): T-Value = 0.06 P-Value = 0.95...
Parametric Hypothesis Testing Comparing Two or More Means 2 Interpreting output for a one-sample t test A Aa 3 You are a marketing expert for a company that is producing a new kind of energy bar. You want to provide evidence that consuming that particular bar 1 hour before engaging in strenuous exercise of a long duration such as running a marathon-will improve performance. You decide to conduct a test at a half-marathon race. You know that the participants' average...
In order to compare the means of two populations, independent random samples of 400 observations are selected from each population, with the results found in the table to the right. Complete parts a through e below. Sample 1 overbar x = 5,305 s1= 154 Sample 2 overbar x = 5,266 s2 = 199 a. Use a 95% confidence interval to estimate the difference between the population means (mu 1 - mu 2). Interpret the confidence interval. The confidence interval is...
A random sample of 40 adults with no children under the age of 18 years results in a mean daily leisure time of 5.09 hours, with a standard deviation of 2.29 hours. A random sample of 40 adults with children under the age of 18 results in a mean daily leisure time of 4.31 hours, with a standard deviation of 1.65 hours. Construct and interpret a 95% confidence interval for the mean difference in leisure time between adults with no...
Using a two-tailed one-sample z-test from a sample of size n, a researcher rejects the null hypothesis as z = 2.0 is greater than the critical value 1.96 at α = .05. What does this mean? Choose ALL the correct options from the following. a. As α = .05, the probability that the null hypothesis is correct is less than 5% b. As α = .05, the probability that the alternative / research hypothesis is correct is more than 95%...
You sample 20 pairs of teenage fraternal twins for average total cholesterol. We wish to test the hypothesis that girls’ total cholesterol is higher than that of boys’. Why might you want to sample twins, versus randomly selected unrelated boys and girls? You sample 20 pairs of teenage fraternal twins for average total cholesterol. We wish to test the hypothesis that girls’ total cholesterol is higher than that of boys’. Which of these outputs is most applicable for completing the...
In the picture below, I have the output for the same two sets of data. I ran the hypothesis test and the confidence interval. If you had a choice to use one output or the other, which would you choose and why? Make sure to be specific and include what information you get from each and what information you don't get if you use one over the other. Options Two sample T summary hypothesis test: : Mean of Population 1...
In order to compare the means of two populations, independent random samples of 395 observations are selected from each population, with the results found in the table to the right. Complete parts a through e below. Sample 2 x2 = 5,250 2-210 Sample 1 X,5,279 1-140 a. Use a 95% confidence interval to estimate the difference between the population means (μ1-μ2) . Interpret the confidence The confidence interval is Round to one decimal place as needed.) Interpret the confidence interval....
You recently concluded a paired t-test. Which of the following means that you found a 95% CI for µd of CI (-3.64, 1.23), and a p-value of .06.? A.) The p-value is used to determine that we should not reject the null, because it is greater than .05, which shows there would be no difference between the means. Also, because 0 falls within our CI, 0 is a plausible value for µd and so we cannot reject the null. B.)...