exam 1

Question 1

Variable

Answer 1

Things that can be changed in a situation.

Question 2

“Height of students in a class”

Answer 2

Variable

Question 3

Quantitative

Answer 3

numerical

Question 4

Qualitative

Answer 4

descriptive

Question 5

Color and race are an example of something being

Answer 5

qualitative

Question 6

Continuous Variable

Answer 6

can be measured anywhere

Question 7

height and eating donuts are considered continuous or discrete?

Answer 7

continuous

Question 8

Discrete Variable

Answer 8

one or the other, no in between, whole numbers

Question 9

Students and cars in the parking lot are considered continuous or discrete?

Answer 9

discrete

Question 10

Independent Variable

Answer 10

experimenter changes comething

Question 11

Dependent Variable

Answer 11

what you measure about the participant.

Question 12

Which is the IV and DV “Does listening to music while studying improve test scores?”

Answer 12

(IV): Listening to music while studying
(DV): Test scores

Question 13

Quasi-design

Answer 13

interest on an effect you can’t change but pretend to change to use the math.

Question 14

Operational defintion

Answer 14

objective definition of a variable that interests you

Question 15

What is the operational definition of stress and blood pressure

Answer 15

Stress will be measured by heart rate (beats per minute)

Question 16

Reliable Definition

Answer 16

can be used to detect the operationalized variable of interest

Question 17

Nominal Variable

Answer 17

categorical variable with no order or ranking.

Question 18

Ordinal Variable

Answer 18

has order (no math)

Question 19

Movie ratings and education level are examples of

Answer 19

Ordinal Variable

Question 20

Interval

Answer 20

numbers are meaningful, distance is always the same, and can be ordered

Question 21

Population

Answer 21

Who you’re interested in testing

Question 21

Sample

Answer 21

who is actually being measured

Question 21

Parameter

Answer 21

Variable you are interested in

Question 22

Statistic

Answer 22

What you actually measure from the sample

Question 23

Sampling error

Answer 23

Difference between statistics and parameter

Question 31

Descriptive

Answer 31

describe, organize and summarize data

Question 32

Inferential

Answer 32

use sample data to infer information about the population (is the. difference real?)

Question 33

Probability

Answer 33

What are the chances that the difference is meaningful

Question 34

Effect size

Answer 34

is the difference large or small

Question 35

Frequency distribution

Answer 35

describes data by how often a number appeals

Question 36

Frequency Table

Answer 36

organizes data into categories and shows how often each value occurs.

Question 37

Histogram

Answer 37

graphical representation of a frequency distribution (continuous data)

Question 38

Proportion

Answer 38

P= f/n. n= total number of scores

Question 39

Cumulative frequency

Answer 39

the running total of frequencies

Question 40

Mean: 3,7,8,9,3,5,7,3,5,3

Answer 40

53/10=

Question 41

Median: 3,3,3,3,5,5,7,7,8,9

Answer 41

5+5/2=5

Question 42

Mode

Answer 42

number is seen most often