Stat 100 - Quiz 1

Front 1

Statistics

Back 1

the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data.

Front 2

variable

Back 2

the characteristic or attribute that can assume different values.

Front 3

data

Back 3

are the values that variables can assume.

Front 4

random variable

Back 4

are variables whose values are determined by chance.

Front 5

descriptive statistics

Back 5

consist of the collection, organization, summarization, and presentation of data.

Front 6

inferential statistics

Back 6

consist of generalizing from samples to population, performing estimations and hypothesis testing, determining relationships amoung variable, and making predictions.

Front 7

population

Back 7

consist of all subjects (humans or otherwise) that are being studied.

Front 8

sample

Back 8

a group of subjects selected from the population

Front 9

hypothesis testing

Back 9

a decision-making process for evaluating claims(seeing if true or not) about a population, based on info obtained from samples.

Front 10

qualitative variable

Back 10

variable that can be placed into distinct categories, according to some characteristic or attribute.

Front 11

quantitative variable

Back 11

numerical and can be ordered or ranked

Front 12

discrete variable

Back 12

assume vaules that can be counted
ex. the number of children in your family

Front 13

continuous variable

Back 13

can assume all vaules between any two specific vaules. They are obtained by measuring.

Front 14

nominal level of measurement

Back 14

classifies data into mutually exclusive(non-overlapping) exhausting categories in which no order or ranking can be imposed on the data.
Ex: gender (male or female), Religious affilation (Christian, Catholic)

Front 15

ordinal level of measurement

Back 15

classifies data into categories that can be ranked; however precise differences between the ranks do not exist.
Ex: fisrt place, second place, third placed

Front 16

interval level of measurement

Back 16

ranks data, and precise differences between the units of measure do exist; however there is no meaningful zero.
Ex: IQ test scores, SAT scores

Front 17

ratio level of measurement

Back 17

possesses all characteristics of interval measurement, and there exist a true zero. In addition, true ratios exist when the same variable is measured on two different members of the population
Ex: height, weight, age, salary.

Front 18

systematic sample

Back 18

a sample obtained by numbering each element in the population and then selecting every kth # from the population to be included in the sample.

Front 19

stratified sample

Back 19

dividing the population into groups (called strata) according to some characteristic that is important to the study, THEN sampling from group.

Front 20

cluster sample

Back 20

subjects are selected by using an intact group that is a representative for the population.