Question

A researcher conducts a single-sample t test and finds statistical significance at the 0.01 level. The...

A researcher conducts a single-sample t test and finds statistical significance at the 0.01 level. The effect size is then calculated and found to be 0.50. What might you conclude about the findings?

A. These findings are exciting because statistical significance was found with a very small effect, indicating that the results are real and the chance of a Type I error are low.

B. While the results of the test are statistically significant, the effect size indicates that they may not be practically significant. It might be the case that a very large sample was studied, driving up the test statistic value.

C. The findings seem flawed because without a substantial effect size, it is not possible to find statistical significance.

D. The results are both statistically and practically significant in this case, as the effect size indicates a medium effect, and the 0.01 level of significance is rather impressive.

B is incorrect. Please explain why the new answer is correct, I don't understand.

Homework Answers

Answer #1

D. The results are both statistically and practically significant in this case, as the effect size indicates a medium effect, and the 0.01 level of significance is rather impressive.

D option

Cohen suggested that d=0.2 be considered a 'small' effect size, 0.5 represents a 'medium' effect sizeand 0.8 a 'large' effect size. This means that if two groups' means don't differ by 0.2 standard deviations or more, the difference is trivial, even if it is statistically signficant.

So, effect size is of medium effect

Thus, option D

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A researcher conducts two t tests. Test 1 is a one-tailed test with a smaller sample...
A researcher conducts two t tests. Test 1 is a one-tailed test with a smaller sample size at a .05 level of significance. Test 2 is a one-tailed test with a larger sample size at a .05 level of significance. What do you know about the critical values for each test?
1. Choose the correct statistical decision at the 0.05 significance level based on the given research...
1. Choose the correct statistical decision at the 0.05 significance level based on the given research finding. A researcher measured the amount of relationship as “4.68” from the normal distribution with mean = 2 and standard deviation = 1. A. The observed sample relationship is inside the critical region. B. The observed sample relationship is outside the critical region. C. We need more information to decide. D. There is no significant relationship 2. When the p-value is observed as 0.014,...
A study was reported as failing to achieve statistical significance at the 5% level: its p-value...
A study was reported as failing to achieve statistical significance at the 5% level: its p-value was 5.2%. A second study of the same subject by a different researcher was determined to be statistically significant, with p-value 4.99%. The two studies found the same estimate for the mean difference and were of equal quality. Q. Discuss how you would view the results. (using statistic knowledge and terminology)
In an independent sample sample t test, the researcher rejects H0 at 5% level of significance...
In an independent sample sample t test, the researcher rejects H0 at 5% level of significance and fails to reject H0 at 1% level. Then the p-value of the test is a. more than 0.05 b. less than 0,01 c. 0.01 < p < 0.05 d. Cannot determine from given information.
A random sample of 836 births included 425 boys. Use a 0.01 significance level to test...
A random sample of 836 births included 425 boys. Use a 0.01 significance level to test the claim that 51.2​% of newborn babies are boys. Do the results support the belief that 51.2​% of newborn babies are​ boys? Identify the null and alternative hypotheses for this test.
A random sample of 866 births included 428 boys. Use a 0.01 significance level to test...
A random sample of 866 births included 428 boys. Use a 0.01 significance level to test the claim that 51.2% of newborn babies are boys. Do the results support the belief that 51.2​% of newborn babies are​ boys? What is the test statistic for this hypothesis test? What is the P-value for this hypothesis test?
Several factors influence statistical power for a one-sample t test. How does statistical power change (increase...
Several factors influence statistical power for a one-sample t test. How does statistical power change (increase or decrease) for each of the following changes? When d (effect size) increases. When N (sample size) increases. When the alpha level is made smaller. Explain your answer. For example, if we know ahead of time that the effect size d is very small, what does this tell us about the N we will need in order to have adequate statistical power? (We assume...
A random sample of 831 births included 431 boys. Use a 0.01 significance level to test...
A random sample of 831 births included 431 boys. Use a 0.01 significance level to test the claim that ​51.1% of newborn babies are boys. Do the results support the belief that 51.5​% of newborn babies are​ boys? The test statistic for this hypothesis test is ​(Round to two decimal places as​ needed.) Identify the​ P-value for this hypothesis test. The​ P-value for this hypothesis test is ​(Round to three decimal places as​ needed.)
question 1 1) Consider a significance test for a null hypothesis versus a two-sided alternative. State...
question 1 1) Consider a significance test for a null hypothesis versus a two-sided alternative. State all values of a standard normal test statistic z that will give a result significant at the 10% level but not at the 5% level of significance. (Sec. 6.2) You perform 1,000 significance tests using α = 0.01. Assuming that all the null hypotheses are true, how many of the test results would you expect to be statistically significant? Explain your answer. (Sec. 6.3)...
t-Tests A t-test is used to: Most statistical tools use a .05 significance level. Explain what...
t-Tests A t-test is used to: Most statistical tools use a .05 significance level. Explain what that means. Men versus women were compared for their level of willingness to disclose their sexual history to a dating partner when the relationship begins to get serious. Their scores are shown below. Using a t-test as the statistical tool, write a null hypothesis and an alternative hypothesis for this example. From the data below, fill out the chart and follow the 11 steps...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT