Terminology Flashcards

1
Q

Entire group of people or data you want to understand

A

Population

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2
Q

Subgroup of the whole

A

Sample

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3
Q

Describes the data pertaining to a population or sample, specifically the center of the data, spread of the data, and shape of the plotted graph

A

Descriptive statistics

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4
Q

Statistics where the researchers infer the features of a population from the data found in a sample

A

Inferential statistics

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5
Q

Describes a population characteristic, particularly it’s mean and SD

A

Parameter

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6
Q

Number that describes a sample characteristic such as the samples mean and SD

A

Statistic

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7
Q

How to get around sampling error

A

Increase sample size

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8
Q

Unbiased error caused by natural variability that does not precisely reflect the population avg

A

Sampling error

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9
Q

Researcher has not selected the sample randomly, but with bias towards specific characteristics

A

Selection bias

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10
Q

How close is the measure to the true measure

A

Validity

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11
Q

Inaccurate measure

A

Invalid

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12
Q

How repeatable the test is

A

Reliability

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13
Q

Classic bell shaped curve

A

Normal or Gaussian distribution

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14
Q

Statistical tests on data that follow a normal dist

A

Parametric test

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15
Q

Term for tests that are not used for guassian or normal distribution

A

Nonparametric test

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16
Q

Excessive leptokuritic curve

A

High peak at mean, positive kurtosis, data more heavily distributed around mean than a normal dist

17
Q

Excessively flat curves, negative kurtosis, because data are spread out and less concentrated around mean than normal dist

A

Platykurtic

18
Q

Measure if curve is excessively peaked or flat

A

Kurtosis

19
Q

Kurtosis for normal curve

A

Mesokurtic

20
Q

What is the skew and kurtosis of a normal curve?

At what values for skew and kurtosis can parametric tests be used?

A

0

Plus or minus 2

21
Q

How to calculate probability for two dependent variables (having both diseases) not mutually exclusive

A

Multiple the probabilities

22
Q

Way to calculate having one disease or another, mutually exclusive (cannot occur at same time)

A

Add probabilities