Test 1

Question 1

nominal (categorical)

Answer 1

values = names/categories (gender: female =1, male = 2)

Question 2

Ordinal

Answer 2

Values’ position matters (position on a race)

Question 3

Population

Answer 3

all the possible observations about something

Question 4

sample

Answer 4

a subset of the population

Question 5

Statistic

Answer 5

Number that characterizes a sample

Question 6

Parameter

Answer 6

a number that characterizes a population

Question 7

Descriptive statistics

Answer 7

summarizing numbers

Question 8

inferential statistics

Answer 8

using the numbers to make generalizations about the population

Question 9

Random sampling

Answer 9

every member of the population has a equal chance of being selected for the sample

Question 10

Convenience sample

Answer 10

Using people who are willing and readily avalible

Question 11

Replication benefits

Answer 11

addresses problems and extend geralizability

Question 12

Values/levels

Answer 12

number or category for a score (ex: male, female)

Question 13

Score

Answer 13

a particular person’s value on a variable (ex: the participant is a male)

Question 14

Quantitative

Answer 14

number value variable

Question 15

qualitative

Answer 15

things that represent categories (interpretation-based and descriptive)

Question 16

Discrete observations

Answer 16

only take on specific value (1-10 but nothing like 5.5)

Question 17

Continuous observation

Answer 17

any number of value (decimals like change)

Question 18

Real limits

Answer 18

boundaries for intervals for continuous scores that are halfway between two scores (they will define the boundary)

Question 19

interval

Answer 19

scale has equal differences between scale points but no true zero (temperature)

Question 20

Ratio

Answer 20

interval variables that have a meaningful or true zero (absence of variable)

Question 21

Scale

Answer 21

An interval or ratio variable

Question 22

construct

Answer 22

characteristic or attribute that cannot be observed directly

Question 23

operational definition

Answer 23

procedures used to define variables so that they can be observed

Question 24

Experiment

Answer 24

study to determine cause and effect

Question 25

Extraneous Variable

Answer 25

variables that can affect the outcome (IV) aside from the IV

Question 26

Confounding Variable

Answer 26

variable that may distort or mask the effect of the other variable (not only effects DV but can be related to the IV)

Question 27

Between Group Design

Answer 27

Multiple groups for multiple conditions (between different groups)

Question 28

Within Group Design

Answer 28

One group for multiple conditions (within the same group)