Statistics Vocab Chapter 1, 2, 3

Front 1

Quantitative Variable

Back 1

age, height, weight, temperature

Front 2

Qualitative Variable

Back 2

Characteristics- gender, religious preferance, geographic location

Front 3

Discrete Variables

Back 3

Can be counted

Front 4

Continuous Variables

Back 4

can assume all values between any 2 specific values- obtained by measuring

Front 5

Data<qualitative or quantitative

Back 5

Quantitative<Discrete or Continuous

Front 6

Descriptive Statistics

Back 6

collection, organization, summarization, and presentation of data: census-average age, income, or other characteristics of US population

Front 7

Inferential Statistics

Back 7

make inferences from sample to populations: uses probability-

Generalizing from samples to populations, estimations and hypothesis tests, relationships and predictions

Front 8

Nominal level measurement

Back 8

mutually exclusive exhausting categories in which no order or ranking can be imposed on the data: zip code, gender, eye color, political affiliation, major field, nationality

Front 9

Ordinal level measurement

Back 9

categories that can be ranked: grades, 1st 2nd place, rating scale(poor, good), ranking of tennis players

Front 10

Interval level measurement

Back 10

ranks data - no zero: SAT score, IQ, Temperature

Front 11

Ratio level measurement

Back 11

lift twice as much, height weight, time, salary, age

true zero

Front 12

Random Sample

Back 12

chance methods, random numbers, table of random numbers

Front 13

Systematic Sample

Back 13

numbering then selecting everty kth subject

Front 14

Stratified Sample

Back 14

dividing poplulation into groups then selecting from each group

Front 15

Cluster Sample

Back 15

intact group representative of the population

Front 16

Quasi-experimental study

Back 16

intact groups when random assignment is not possible

Front 17

Hawthorne Effect

Back 17

Participants change behavior because they knew they were being tested

Front 18

frequency distribution

Back 18

organization of raw data in table form using classes and frequencies

Front 19

3 types of frequency distribution

Back 19

categorical and grouped and ungrouped

Front 20

class midpoint

Back 20

X= lower boundary + upper boundary /2

Front 21

Histogram

Back 21

contigious vertical bars

Front 22

Frequency Polygon

Back 22

lines between midpoints

Front 23

Ogive

Back 23

graph that represents cumulative frequencies

Front 24

Relative Frequency graph

Back 24

proportions instead of raw data

Front 25

Pareto Chart

Back 25

represent frequency distribution for a categorical variable- vertical bars highest to lowest

Front 26

Pie Graph

Back 26

sections according to percentage of frequencies