Biostatistics, Chapters I & II

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Cluster

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24 Terms

1

Cluster

________ Sampling: dividing the population into groups by a category.

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2

Ordinal Variable

________: categorical variables but with a clear ordering (small /medium /large)

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3

Outliers

________ are any points that lie outside of the LF and UF.

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4

Population

________: complete collection of all measurements or data that are being considered.

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5

Categorical Variables

________: two+ categories, but no intrinsic ordering (ex: blood type)

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6

Discrete Variables

________: a numeric variable for which we can list the possible values (think: integers)

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7

numeric variable

Continuous Variable: a(n) ________ that is measured on a continuous scale (temperature, height)

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8

Outliers

________ are marked by small circles.

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9

categorical variables

Bar Charts: frequency distribution for ________.

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10

Population

complete collection of all measurements or data that are being considered

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11

Sample

sub-collecion of members selected from a population

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12

Simple Random Sample

each member of the population has the same change of being included, and samples are chosen independently

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13

Cluster Sampling

dividing the population into groups by a category

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14

Stratified Random Sampling

divide the population into groups (strata) based on one+ classification criteria

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15

Sampling Bias

some members of the population have a higher chance to be selected than others

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16

Ordinal Variable

categorical variables but with a clear ordering (small/medium/large)

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17

Continuous Variable

a numeric variable that is measured on a continuous scale (temperature, height)

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18

Bar Charts

frequency distribution for categorical variables

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19

Histograms

frequency distribution but no spaces

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20

Mean

The average of the observations

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21

N is odd

(n + 1)th largest value

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22

N is even

average of (n/2)th largest value and (n/(2) + 1)th

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23

LF = Q1

h

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24

h = 1.5(Q3

Q1)

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