statistics Flashcards

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1
Q

what are the 2 types of stats?

A
  1. Descriptive/distribution statistics
  2. Inferential statistics
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2
Q

what is descriptive/distribution statistics

A

Summarize and describe characteristics of a data set (ex; avg course grade in the class)

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3
Q

Inferential statistics

A

Tells us how confident we can be in drawing conclusions/inferences about a population based on findings obtained from a sample (ex; does your grade in 104 predict your 205 grade?)

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4
Q

Measures of central tendency

A

Measures that describe a distribution in terms of a single statistic that is in some way “typical” of the sample as a whole

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5
Q

mode vs mean vs median

A

Mode: The most frequent response in a distribution
Mean: The mathematical average of a set of scores
Median: When ordered from lowest value to highest value, the score that is in the middle of the distribution

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6
Q

Measures of variability

A

Measures that provide information about the spread of scores in a distribution

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7
Q

Range

A

The difference between the highest and lowest score in a distribution
-may not be informative

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8
Q

Variance

A

The average of the squared deviation scores about the mean

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9
Q

Standard deviation

A

A common measure of variation around the mean

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10
Q

Normal curve

A

A symmetrical bell-shaped curve that represents a theoretical distribution of scores in the population.

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11
Q

Inferential statistics

A

Studies using experimental methods, correlations, or other hypothesis testing procedures use inferential statistics, based on probability

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12
Q

Statistical significance

A

A term that suggests that it is unlikely that a particular finding occurred by chance alone
-Does not address how large or small an effect is, just that there is likely an effect

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13
Q

p-value

A

The probability of finding the observed, or more extreme, results when there is no true effect

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14
Q

Practical significance

A

Statistical significance only tells us there is (likely) an effect
Does not tell us how much of an effect or its practical value

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15
Q

Effect size

A

How large of an effect there is

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16
Q

Statistically significant

A

real statistical difference or relationship exists

17
Q

Non-significant

A

no real statistical difference or relationship exists (n.s.)
-Insignificant ≠ non-significant