Term
| The two branches of Statistics are |
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Definition
| Descriptive and inferential |
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Term
| Inferential Statistics are the methods that: |
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Definition
| Allow us to draw conclusions about a population based on looking at the characteristics of the sample. |
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Term
| Sampling error is defined as: |
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Definition
| Difference between the values of the sample statistic and the population parameter. |
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Term
| Measurement Error occurs when: |
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Definition
| Repeated measurements of the same variable multiple times result in slightly different findings. |
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Term
| The greater the sampling error, the less likely that: |
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Definition
| Our sample reflects the population characteristics. |
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Term
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Definition
| A broad statement regarding some phenomenon. |
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Term
| A hypothesis is a statement about: |
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Definition
| More specific statement or idea derived from theory. |
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Term
| List the two types of hypothesis and define them: |
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Definition
Null- statement under investigation/no difference
Research- difference between two group relationships/differences. |
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Term
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Definition
| When it variable doesn't change. |
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Term
| An Independent variable is: |
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Definition
| When the variable is changed. |
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Term
| Directional research hypothesis is: |
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Definition
| Group that is given a variable. |
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Term
| Non-Directional research hypothesis is: |
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Definition
| A group is not given a variable. |
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Term
| The Symbol for the null hypothesis is: |
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Definition
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Term
| The symbol for the research hypothesis is: |
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Definition
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Term
| The two options for decisions about our Null Hypothesis after analysis are: |
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Definition
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Term
| Type I errors occurs when we: |
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Definition
| Reject the Null Hypothesis but shouldn't. |
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Term
| Type II errors occurs when we: |
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Definition
| Don't reject the Null Hypothesis but should reject it. |
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Term
| The type of error that is considered to be more serious is: |
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Definition
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Term
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Definition
| is the process of making decisions about the value of a population parameter. |
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Term
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Definition
| The probability level act which we are willing to reject the null hypothesis. |
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Term
| Which hypothesis do we test when doing hypothesis testing? |
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Definition
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Term
| What is Statistical Power and how can we increase our statistical power? |
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Definition
1. Ability to find statistical significance.
2. Increase sample size. |
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Term
| A non-directional hypothesis would require us to use which type of tailed test of significance? |
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Definition
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Term
| The most commonly used Alpha Level is: |
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Definition
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Term
| My analysis show that the significance level for my results is .024, do I have significant results? |
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Definition
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Term
| When does the researcher set the Alpha Level? |
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Definition
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Term
| What do Tests of Significance indicate? |
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Definition
| Indicate probability that the observed differences between groups due to chance. |
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Term
| What does it mean when we say our results are "statistically significant"? |
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Definition
| Two sample means are larger than what was expected to see if done by chance. |
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Term
| What does "Independent Groups" mean when doing a t-test? |
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Definition
| Different participants appear in each sample and, the subjects in the two samples are not matched in any way. |
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Term
| What does "Paired samples" mean when doing a T-test? |
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Definition
| Participants are matched a variable. |
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