STATS Flashcards

(24 cards)

1
Q

th numerical descriptive measures of a population, measures describe a population

A

Parameters

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2
Q

the value or a range of values that approximate a parameter

A

Estimate

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3
Q

finding an approximate value or range of values for an unknown parameter.

A

Estimation

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4
Q

type of estimation that produces a single value

A

Point Estimation

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5
Q

single value produced in point estimation

A

Point Estimate

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6
Q

formula for point estimation

A

Point Estimator

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7
Q

type of estimation that contains a series of values in estimating an unknown population parameter.

A

Interval Estimation

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8
Q

series of value found in Interval estimation

A

Interval Estimates

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9
Q

formula for interval estimation

A

Interval Estimator

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10
Q

is an interval estimate constructed from a point estimate and a margin of error.

A

Confidence Interval

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11
Q

refers to the maximum estimate of how far the parameter can deviate from the point
estimate.

A

Margin of Error

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12
Q

refers to a degree of certainty of the confidence interval.

A

Confidence Level

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13
Q

refers to the likelihood that the confidence interval does not contain the parameter it estimates.

A

Significance Level (Alpha Level)

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14
Q

Also known as the average computed from the table.

A

MEAN

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15
Q

the numbers that describe characteristics of
scores in the sample (mean, variance, s.d., correlation coefficient, reliability coefficient, etc.)

A

STATISTIC

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16
Q

estimate is within the value of the mean.

17
Q

estimate is below the value of the mean.

A

Negative Bias

18
Q

estimate is above the value of the mean.

A

Positive Bias

19
Q

mean of the population that possesses a given characteristic.

A

Population Mean μ

20
Q

is an average of a sample of size n. best used for interval and ratio with symmetrical data as levels of measurement.

A

Sample Mean x

21
Q

is the middle value of an ordered array of a sample of size n. best used for interval and ratio with skewed data as levels of measurement.

A

Sample Median x͂

22
Q

is the value that frequently occurs among a random sample of size n. is used for nominal or categorical value. value is not important because it is assumed as a
descriptive category.

A

Sample Mode x

23
Q

is so-called the student t-distribution, student’s distribution or student’s t-test.

A

T-Distribution

24
Q

is consist of values for degrees of freedom df