Question

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.

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 size**and 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

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1.
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A study was reported as failing to achieve statistical
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quality.
Q. Discuss how you would view the results. (using statistic
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In an independent sample sample t test, the researcher
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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.

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that
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What is the test statistic for this hypothesis test?
What is the P-value for this hypothesis test?

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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
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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
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Assuming that all the null hypotheses are true, how many of the
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Explain your answer. (Sec. 6.3)...

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