Now the decision rule in t test is if the test statistic > critical value then we reject null hypothesis . Otherwise fail to reject null hypothesis.
here test statistic = 3.56
Critical value = 3.1
Therefore test statistic > critical value
Therefore we reject the null hypothesis .
in t test
Null hypothesis Ho: All the difference are equal
Vs alternative hypothesis H1 : atleast one difference is different.
Here we reject the null hypothesis .
Therefore we conclude that the groups are different on the average .
Interpretation of the t-statistics in a t-test given a critical value. For example, while performing a...
You are performing a left-tailed t-test with a sample size of 21. If α=.05α=.05, and your test statistic is t=−2.89t=-2.89, do you: fail to reject the null hypothesis reject the null hypothesis You will either want to either: Calculate the critical value and compare the test statistic to it. Calculate the p-value and compare it to the significance.
You are performing a two-tailed test. If α = .004 , find the positive critical value, to three decimal places. zα/2 = You are performing a left-tailed z-test If α=.025, and your test statistic is z=−1.75, do you: Reject Null Hypothesis Fail to Reject Null Hypothesis
1.) In a hypothesis test, the observed value was found to be -2.10 whereas the critical value was 2.39. Based on this information we: a.) Fail to reject the null hypothesis b.) Reject the null hypothesis 2.) In a hypothesis test, the observed value was found to be -4.10 whereas the critical value was 2.39. Based on this information we: a.) Fail to reject the null hypothesis b.) Reject the null hypothesis Please explain why.
In ANOVA test, if the F test statistics is larger than or equal to the critical value, we should reject the null hypothesis. True False
Suppose that, for a t-test, your computed value for t is +3.28. The critical value of t is +2.048. Explain what this means. Do you reject the null hypothesis or not? Now suppose that you have 28 degrees of freedom and are using a two-tailed (nondirectional) test. Draw a simple figure to illustrate the relationship between the critical and the computed values of t for this result.
Suppose that, for a t-test, your computed value for t is +3.28. The critical value of t is +2.048. Explain what this means. Do you reject the null hypothesis or not? Now suppose that you have 28 degrees of freedom and are using a two-tailed (nondirectional) test. Draw a simple figure to illustrate the relationship between the critical and the computed values of t for this result.
I spefically need to see how
the test statistic and critical value is calculated.
Test the claim that the proportion of men who own cats is significantly different than 80% at the 0.02 significance level. The null and alternative hypothesis would be: The test is: left-tailed right-tailed two-tailed Based on a sample of 55 people, 78% owned cats The test statistic is: (to 2 decimals) The positive critical value is: (to 2 decimals) Based on this we: Reject the null...
Calculate the critical degrees of freedom and identify the critical t value for a single-sample t test in each of the following situations, using p=.05 for all scenarios. Then, state whether the null hypothesis would be accepted or rejected: 10) Two-tailed test, N = 10, t = 2.35 df= (answer) critical t = (answer) Accept or Reject Ho: (answer)
The Student's t distribution table gives critical values for the Student's t distribution. Use an appropriate d.f. as the row header. For a right-tailed test, the column header is the value of α found in the one-tail area row. For a left-tailed test, the column header is the value of α found in the one-tail area row, but you must change the sign of the critical value t to −t. For a two-tailed test, the column header is the value...
Rebecca is using a t-distribution for a hypothesis test. She finds that the critical value is 3.64 and the test statistic is 3.95. If this is a Right Tailed Test, what conclusion should she draw? Reject the Null Hypothesis Reject the Hypothesis Test Reject the Alternative Hypothesis Do Not take any action