Statistics Midterm 1

Front 1

descriptive statistics

Back 1

methods of organizing, summarizing, and presenting data in an informative way

Front 2

inferential statistics

Back 2

A decision, estimate, prediction, or generalization about a population, based on a sample

Front 3

qualitative variable

Back 3

Atrbute variable: Characteristic being studied is nonnumeric
Ie Gender, religion, eye color, state of birth

Front 4

quantitative variable

Back 4

INformation is reported numerically.

Balance in check book, minutes left in class, number of children

Front 5

discrete variable

Back 5

Can only assume certain values and there are usally gaps between values

IE # of bedrooms in a house, # of hammers sold. 1,2,3

Front 6

continuous variable

Back 6

can assume any value within a range.

ie pressure in tire, weight of pork chop , height of student

Front 7

nominal levels

Back 7

data that is classified into categories and CANNOT BE ARRANGED in any particular order.
eye color, gender, religion

Front 8

Ordinal levels

Back 8

data arranged in some order, but the differences between data values cannot be determined or are meaningless.
Taste taste: Sodas ranked 1 to 4

Front 9

Sample

Back 9

A PORTION or PART of the population of interest

(Done cost of costs, destruction of item, not possible to test/inspect all)

Front 10

Population

Back 10

Collection of all possible indviduals, objects, or measurements of interest

Front 11

Interval Level NOIR

Back 11

similar to the ordinal level, with the additional property that meaningful amounts of differences between data values can be determined. There is no natural zero point.

Front 12

Ratio Level NOIR

Back 12

the interval level with an inherent zero starting point. Differences and ratios are meaningful for this level of measurement.

EXAMPLES: Monthly income of surgeons, or distance traveled by manufacturer’s representatives per month.

Front 13

Frequency Table

Back 13

A grouping of QUALITATIVE data into MUTUALLY EXCLUSIVE CLASSES showing the number of observations in each class.
ie. domestic cars 50 Foreign cars 30

Front 14

Class interval

Back 14

The class interval is obtained by subtracting the lower limit of a class from the lower limit of the next class.

Front 15

Frequency Distribution

Back 15

A grouping of DATA into mutually exclusive classes showing the number of observations in each class.

Data into classes

Front 16

Class frequency:

Relative Frequency

Back 16

The number of observations in each class.
relationship between a class total and the total number of observations
ie. .625 relative frequency (total 1.0)

Front 17

Class Midpoint

Back 17

A point that divides a class into two equal parts. This is the average of the upper and lower class limits.

Front 18

Pie Chart

Back 18

Proportion or percent that each class represents of the total number of frequencies

Front 19

Bar Chart

Back 19

Graph in which classes are reported on the horizontal axis and frequencies on vertical.

Front 20

Histogram
Frequency Polygon

Back 20

Bar chart style
Can compare two or more with dotted line style approach