2A Statistics
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Power can be thought of as:

  • The ability of a test to correctly reject the alternative hypothesis
  • The ability of a test to correctly retain the null hypothesis.
  • The ability of a test to find a significant finding when there isn't one to be found. (correct)
  • The ability of a test to find a significant finding when there is one to be found (correct)

What of these elements does not impact Power

  • The Population tested (correct)
  • The Type I Error rate
  • The N
  • The Effect Size

When using the SESOI to determine an effect size, you are

  • using rules of thumb to determine the effect size
  • using the effect size you would determine relevant in your field (correct)
  • using previous published articles to determine the effect size

If you run a one-sample t-test against a value of 150, the 150 is known as

<p>The criterion value (B)</p> Signup and view all the answers

An effect size of Cohen's d = .9, would most likely be considered

<p>Large (C)</p> Signup and view all the answers

Type 2 Error is also known as the False Positive Rate

<p>False (B)</p> Signup and view all the answers

What is considered low power in psychology?

<p>Under .8 (B)</p> Signup and view all the answers

APES stands for

<p>Alpa, Power, Effect Size, Sample Size</p> Signup and view all the answers

What are the 2 things Alpha is used to determine?

<p>The Effect Size and Sample Size (B)</p> Signup and view all the answers

SESOI stands for: ___ Effect ___ __ ____

<p>Smallest Size Of Interest</p> Signup and view all the answers

The Assumptions of a One-Sample T-Test are:

<p>Continuous Scale Independent Scores Normally Distributed</p> Signup and view all the answers

If you run a study with 20 people in one condition and 20 different people in a second condition, which test would you use? All participants have been randomly selected.

<p>between-subjects t-test (A)</p> Signup and view all the answers

If you run 20 people in two conditions, with all 20 taking part in both conditions, which t-test would you run?

<p>within-subjects t-test (B)</p> Signup and view all the answers

If you run twenty people in a study and want to compare their mean value to chance level, which t-test would you use?

<p>one-sample t-test (C)</p> Signup and view all the answers

Which of these is the degrees of freedom of a within-subjects t-test with 15 people in the group?

<p>14 (D)</p> Signup and view all the answers

If your degrees of freedom was 29, but your look-up table only went up in tens, which df row would you use?

<p>df = 20 (B)</p> Signup and view all the answers

Regardless of the t-test you carry out, if the critical value is 2.02 and your t-value is 2, then your test is:

<p>non-significant, p &gt; .05 (C)</p> Signup and view all the answers

Which of these is not an assumption of the within-subjects t-test? (select all that apply)

<p>Independent Scores (D), Homeoscedasticity (C)</p> Signup and view all the answers

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