Chapter 11 Independent Samples t Test Flashcards

1
Q

Conceptual understanding of independent samples t Test and when to use them

A

A test used to compare the means of two groups when the scores between the groups are independent of one another (e.g., often when we have a between-subjects design)

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2
Q

Calculation of the independent samples t statistic

A

t= ( (Mx-My) - (μx-μy) )/ Sdifference

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3
Q

Assumptions

A
  1. the dependent variable is measured as a scale variable
  2. participants are randomly selected
  3. the population of interest is normally distributed
  4. the independent variable is nominal
  5. we have independent samples (uncorrelated groups)
  6. we assume homogeneity of variance
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4
Q

Homogeneity of variance

A

variances of our populations are the same

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5
Q

Steps for hypothesis testing

A
  1. identify the populations, distribution, and assumptions. Then choose the appropriate test
  2. State the null and alternative hypotheses in words and symbolic notation
  3. Determine the characteristics of the comparison distribution. This will be the. distribution of differences between means
  4. Determine critical values
  5. Calculate test statistic
  6. Decide to reject or fail to reject the null hypothesis
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