Lesson 4 Flashcards

1
Q

Confidence interval

A

an interval of plausible values for a population parameter; the interval of values within the margin of error of a statistic

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2
Q

Distribution

A

the pattern of variation in data

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3
Q

Generalizability

A

Related to whether the results from the sample can be generalized to a larger population.

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4
Q

Margin of error

A

The expected amount of random variation in a statistic; often defined for 95% confidence level.

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5
Q

Parameter

A

A numerical result summarizing a population (e.g., mean, proportion)

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6
Q

Population

A

A larger collection pf individuals that we would like to generalize our results to.

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7
Q

P-Value

A

The probability of observing a particular outcome in a sample, or more extreme, under a conjecture about the larger population or process.

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8
Q

Random assignment

A

Using a probability-based method to divide a sample into treatment groups

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9
Q

Random Sampling

A

Using a probability-based method to select a subset of individuals for the sample from the population.

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10
Q

Sample

A

The collection of individuals on which we collect data.

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11
Q

Statistic

A

A numerical result computed from a sample (e.g., mean, proportion)

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12
Q

Statistical significance

A

A result is statistically significant if it is unlikely to arise by chance alone.

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13
Q

Descriptive Statistics

A

Tell researches the range, average, and variability of the scores

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14
Q

The mean, median, and mode do not reveal anything about how spread out or how varied the scores are.

A
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15
Q

Standard deviation

A

A statistical measure of how much scores in a sample vary around the mean.

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16
Q

how much of the population within the standards of deviations

A

68% in one standard deviation, 95% within 2 standard deviations

17
Q

Mean

A

The arithmetic average of a series of numbers

18
Q

Median

A

The score that separates the lower half of scores from the upper half.

19
Q

Mode

A

A statistic that represents the most commonly occurring score or value.

20
Q

Inferential Statistics

A

Analyses of data that allow us to test hypotheses and make in inferences as to how likely a sample score is to occur in a population.

21
Q

A major Pitfall of descriptive results

A

Cannot draw conclusions from them, we just describe the scores with them.

22
Q

What is an acceptable level of chance before we say that a score is not likely to occur by chance?

A

5%

23
Q

t-test

A

A statistic that compares two means to see whether they could come from the same population.

24
Q
A