Statistics

Front 1

Data

Back 1

consist of information coming from observations, counts, measurements, or responses. the singular for data is datum.

Front 2

Statistics

Back 2

is the science of collecting, organizing, analyzing, and interpreting data in order to make decision.

Front 3

Population

Back 3

is the collection of all outcomes,responses, measurements, or counts that are of interest.

Front 4

Sample

Back 4

is asubset of a population.

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parameter

Back 5

is a numerical description of a population characteristic.

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statistic

Back 6

is a numerical description of a sample characteristic.

Front 7

Descriptve Statistice

Back 7

is the branch of statistics that involves the organization display of data.

Front 8

Inferential Statistics

Back 8

is the branch of statistics that involves using asample to draw conclusions about a population. A basic tool in the study of inferential statistics is probability.

Front 9

Qualitative data

Back 9

consist of attribustes,labels,or nonnumerical entries.

Front 10

Quantitative data

Back 10

Consist of numerical measurements or counts.

Front 11

Nominal level of measurement

Back 11

are qualitative only. Data at this level are categorized using names, labels,or qualitative or quantitative. data at this level are categorixed using names, labels, or qualities. No mathhematical computations can be made at this level.

Front 12

ordinal level of measurement

Back 12

are qualitative or quantitative. Data at this level can be arranged in order,but differences between data entries are not meaningful.

Front 13

Intervall level of measurenment

Back 13

are quantitative. The data can be ordered,and you can calculate meaningful differences between data at the interval level. wotj tje added property that a zero entry is an inherent zero.

Front 14

ratio level of measurement

Back 14

are similar to data at the interval level, with the added property that a xero entry is an inherent zero. A ratio of two dat values can be formed so one data value can be expressed as a multiple of another.

Front 15

Data

Back 15

consist of information coming from observations, counts, measurements, or responses. the singular for data is datum.

Front 16

Statistics

Back 16

is the science of collecting, organizing, analyzing, and interpreting data in order to make decision.

Front 17

Population

Back 17

is the collection of all outcomes,responses, measurements, or counts that are of interest.

Front 18

Sample

Back 18

is asubset of a population.

Front 19

parameter

Back 19

is a numerical description of a population characteristic.

Front 20

statistic

Back 20

is a numerical description of a sample characteristic.

Front 21

Descriptve Statistice

Back 21

is the branch of statistics that involves the organization display of data.

Front 22

Inferential Statistics

Back 22

is the branch of statistics that involves using asample to draw conclusions about a population. A basic tool in the study of inferential statistics is probability.

Front 23

Qualitative data

Back 23

consist of attribustes,labels,or nonnumerical entries.

Front 24

Quantitative data

Back 24

Consist of numerical measurements or counts.

Front 25

Nominal level of measurement

Back 25

are qualitative only. Data at this level are categorized using names, labels,or qualitative or quantitative. data at this level are categorixed using names, labels, or qualities. No mathhematical computations can be made at this level.

Front 26

ordinal level of measurement

Back 26

are qualitative or quantitative. Data at this level can be arranged in order,but differences between data entries are not meaningful.

Front 27

Intervall level of measurenment

Back 27

are quantitative. The data can be ordered,and you can calculate meaningful differences between data at the interval level. wotj tje added property that a zero entry is an inherent zero.

Front 28

ratio level of measurement

Back 28

are similar to data at the interval level, with the added property that a xero entry is an inherent zero. A ratio of two dat values can be formed so one data value can be expressed as a multiple of another.