Stats Terms and Types Flashcards

1
Q

Variability

A

Refers to how spread out the scores are around the mean. The further the scores are apart the larger the variance.

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2
Q

Sample

A

A grouping of people taken from the whole.

Ex. 100 students from a certain number of community colleges that attended school in the U.S between 2008 and 2012

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3
Q

Population

A

A set of individuals whose characteristics are of interest as a whole.
Ex. All students who attended community college in the U.S between 2008 and 2010.

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4
Q

Generalizability

A

The ability to take findings of research and apply them to the whole.

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5
Q

Parameter

A

A measurable aspect of the population “umbrella Idea.”

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6
Q

Random

A

Results are due to chance

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7
Q

Standardization

A

To mathematically make data sets the same so that they can be compared.

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8
Q

Score

A

The results manipulated

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9
Q

Raw Score

A

Come directly from the results of the participant.

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10
Q

Null Hypothesis

A

No observable difference outside of what would occur due to chance (null = no difference).

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11
Q

Research Hypothesis

A

What the researcher sets out to establish.

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12
Q

Research Hypothesis Example

A

“Music affects one’s feeling towards statistics.” when researching the effect listening to music while you study has on how much you like statistics (positive or negative effect).

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13
Q

Alternative Hypothesis

A

Research Hypothesis reestablished in terms of the null.

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14
Q

Alpha

A

Sets the level of significance for the hypothesis and is run to rule out chance.

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15
Q

Critical Value

A

The raw data number that correlates with the p value

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16
Q

Degrees of Freedom

A

The number of data points that are free to vary from person to person such as mood, status of cancer/athleticism.

17
Q

Type I Error

A

Occurs when the Null is true “no trend” and the null is rejected.

18
Q

Type II Error

A

Fail to reject the null when the null is false and a trend does exist.

19
Q

Power

A

Number that indicates the probably that a study will obtain a significant effect.
Ex. Power of 80% = producing statistically significant results 8 out of 10 times.