If the difference between the 2 population means is not significant, which means the test statistic falls within the "usual" area of the distribution, what is the decision about the null hypothesis?
Given, test statistic falls within the usual area of distribution which means acceptance region
And also, the difference between the 2 population means is not significant
Decision about null hypothesis: Accept null hypothesis {since test statistic lies in acceptance region}
If the difference between the 2 population means is not significant, which means the test statistic...
How do you know if a hypothesis test is testing the claim between 2 population proportions or 2 means? How is the test statistic for a claim about 2 population means, independent samples, standard deviations unknown, similar to the test statistic for 1 population mean, standard deviation unknown? If the difference between the 2 population means is not significant, which means the test statistic falls within the "usual" area of the distribution, what is the decision about the null hypothesis?...
In hypothesis testing for a population mean, the term "significant difference" implies a: A) difference between the sample mean and the hypothesized population mean that leads to the rejection of the null hypothesis. B) difference between the test statistic and the critical region. C) difference between the one-sided test and the two-sided test. D) difference between the sample standard deviation and the population standard deviation.
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...
The null and alternative hypotheses for a hypothesis test of the difference in two population means are: Null Hypothesis: Alternative Hypothesis: Notice that the alternative hypothesis is a one-tailed test. Suppose ttest_ind method from scipy module is used to perform the test and the output is (3.25, 0.0043). What is the P-value for this hypothesis test? Select one. Question 2 options: 3.25 -3.25 0.0043 0.00215
CHALLENGE ACTIVITY 5.7.1: Hypothesis test for the difference between two population means. > Jump to level 1 The mean voltage and standard deviation of 5 batteries from each manufacturer were measured. The results are summarized in the following table. Manufacturer Sample mean voltage (millivolts) Sample standard deviatio A 167 B 164 3 What type of hypothesis test should be performed? Select What is the test statistic? Ex: 0.123 What is the number of degrees of freedom? Ex 250 Does sufficient...
length. The difference between the mean costs of automobile insurance for a similar vehicle and driver with two different companies is being studied. The following means resulted from 100 randomly chosen policies from each of the two companies. The mean of the sample from Company One was 560 and the mean of the sample from Company Two was 575. Assume the standard deviation of the population of insurance costs with Company One is 30 and the standard deviation of the...
If the ANOVA test is significant, what does that tell us? It indicates which means differ significantly from each other. It indicates that all means are the same. It indicates that there is a difference somewhere between at least two of the groups being compared. It indicates that the null hypothesis is true.
1. A researcher intends to use a Chi2 test for Goodness of Fit to determine whether there is any preference between 10 brands of cookies. What is the critical Chi2 value for a sample of n = 300 participants and p < .01? A. 20.48 B. 11.07 C. 16.92 D. 18.31 E. 21.67 2. A researcher conducted a study on a sample of n = 80 undergraduates to evaluate preferences among students for four different textbooks for the Introduction to...
When performing a hypothesis test on the difference between 2 population proportions, the 2-test statistic equation we would use is below. 51-52 Poe (1-ộc) , (1-6] If n = 32, 0.33, n2 = 26 and 2=0.45, then what is the value for pc (rounded to 3 decimal places)? A. 0.450 B.0.330 C.0 390 D.0.013 E. 0.384
The null and alternative hypotheses for a hypothesis test of the difference in two population means are: Null Hypothesis: Alternative Hypothesis: Notice that the alternative hypothesis is a two-tailed test. Suppose ttest_ind method from scipy module is used to perform the test and the output is (-1.99, 0.0512). What is the P-value for this hypothesis test? Select one. Question 4 options: 0.0512 1.99 0.0256 -1.99