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Questions and Answers
What is Step 1 in the process of hypothesis testing?
State your Hypotheses
What is Step 2 in the process of hypothesis testing?
Know the Direction
What is Step 3 in the process of hypothesis testing?
Choose the Level of Significance
What is Step 4 in the process of hypothesis testing?
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When is the Dependent Samples T Test used?
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We use the Dependent Samples T Test to compare the difference between ________.
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Study Notes
Hypothesis Testing
- A statistical method that uses sample data to evaluate a hypothesis about a population.
- Consists of four steps: stating hypotheses, knowing the direction, choosing the level of significance, and analyzing the data.
Step 1: State Your Hypotheses
- Research Hypothesis: There is a significant difference/relationship between groups/variables.
- Null Hypothesis: There is no significant difference/relationship between groups/variables.
Step 2: Know the Direction
- No additional information provided.
Step 3: Choose the Level of Significance
- Typically set at α = 0.05, which means a 5% risk of making a type 1 error.
- Alternatively, α = 0.01 may be used, which means a 1% risk of making a type 1 error.
Step 4: Analyze the Data
- Use JAMOVI to find the p-value.
- If the p-value is greater than α, fail to reject the null hypothesis (Ho).
- If the p-value is less than α, reject the null hypothesis (Ho).
Comparing Two Means
One-Sample T Test
- No additional information provided.
Independent Samples T Test
- No additional information provided.
Dependent Samples T Test
- Used when comparing the difference between pre and post test scores or the difference between pairs.
- Assumptions:
- Independent variable (IV) should be nominal with 2 groups/categories.
- Dependent variable (DV) should be interval/ ratio (continuous).
- Random sampling is done.
- Distribution is normal (Shapiro-Wilk test).
Non-Parametric Test
- Used when data deviates from normal distribution.
- Report the median (Mdn) when using Mann-Whitney U.
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Description
Learn about the steps in hypothesis testing and different types of T-tests, including one-sample, independent samples, and dependent samples T-tests.
