Statistics Test 1

Front 1

each and every element in the population must have an equal and independent chance of selection

Back 1

Random Sample

Front 2

the entire collection of all observations of interest to the researcher

Back 2

Population

Front 3

Representative portion of the population selected for study

Back 3

Sample

Front 4

Any descriptive measure of the entire population

Back 4

Parameter

Front 5

Any descriptive measure of the sample

Back 5

Statistics

Front 6

Use various techniques to describe the data set

Back 6

Descriptive Statistics

Front 7

Infer something about the population from a properly designed sample

Back 7

Inferential Statistics

Front 8

Difference between the sample mean and the population mean

Back 8

Sampling Error

Front 9

Three Measures of Central Tendency

Back 9

Mean
Median
Mode

Front 10

Difference between the high and low values

Back 10

Range

Front 11

Difference between the mean and each of the individual values in the data set

Back 11

Average Deviation

Front 12

The mean of the squared deviations around the mean

Back 12

Variance

Front 13

Square root of the variance

Back 13

Standard Deviation

Front 14

Division of any data set into ten equal increments

Back 14

Deciles

Front 15

any characteristic of the population or sample that is being examined in the statistical study

Back 15

Variable

Front 16

Two ways in which variables can be expressed

Back 16

Quantitative
Qualitative

Front 17

Values can take on a whole range of values

Back 17

Continuous Data Sets

Front 18

Generally expressed in whole numbers

Back 18

Discrete Data Sets

Front 19

spread between the lower and upper number of any class

Back 19

Inteval Width

Front 20

if the occurence of one event precludes the occurence of another

Back 20

mutually exclusive

Front 21

events must be all of the possible outcomes of an experiment

Back 21

collectively exhaustive

Front 22

event depends on the occurence of another event

Back 22

dependent events

Front 23

set of all of the elements that are in both set a and set b

Back 23

intersecting probability

Front 24

set of all elements that are in set A or set B

Back 24

Union

Front 25

probability that two events will occure simaltaneously

Back 25

joint probability

Front 26

probability of a single event occuring

Back 26

marginal probability

Front 27

ratio of joint probability divided by marginal probability

Back 27

conditional probability

Front 28

tendency to favor the selection of certain sample elements or events over other sample elements or other events

Back 28

bias

Front 29

this value provides a good estimate of central tendency if the data set contains extreme values

Back 29

median

Front 30

first step in determining the variance

Back 30

average deviation