1. t-test of independent means-Determining whether the observed difference between the means of two groups on variable x is statistically significant. Only used when there is no relationship between the two sets of scores.

• Hypothesis
• Scale of Measurement
• Population
• Sample
• Sampling methods and explanation
• Type of variable (e.g. continuous, non-continuous, dichotomous)
• Independent variables
• Dependent variables

2. t-test dependent means-Determining whether the observed difference between the mans of two groups on variable x is statistically significant. Only used when there is a relation ship between the two sets of scores.
• Hypothesis
• Scale of Measurement
• Population
• Sample
• Sampling methods and explanation
• Type of variable (e.g. continuous, non-continuous, dichotomous)
• Independent variables
• Dependent variables

3. Correlation-A mathematical expression of the directions and magnitude of the relationship between two measures that yield continuous scores.
• Hypothesis
• Scale of Measurement
• Population
• Sample
• Sampling methods and explanation
• Type of variable (e.g. continuous, non-continuous, dichotomous)
• Independent variables
• Dependent variables

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