Exam 1 (Ch. 1 & 2) Flashcards

1
Q

Descriptive statistics

A

calculation that produces a number that summarizes or describes a set of data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Inferential statistics

A

calculations based upon measurements from a sample used to reach a conclusion about a larger unmeasured population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Population

A

all scores of the individuals of interest for investigation; defined by the investigator

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Sample

A

scores of a subset of the population; defined by the investigator

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Parameter

A

numerical (number) or nominal (categorical) characteristic of a population; constant and usually becomes a variable of interest for research questions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Statistic

A

a numerical or nominal characteristic of a sample; used as an estimate of the population parameter; differs between samples and is variable (changeable)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Variable

A

Any measurable characteristic that varies from one situation to the next

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

(Raw) score

A

Measurement of a variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Quantitative

A

amount or degree of the variable; numeric and continuous

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Interval

A

intervals between numbers are equal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Ratio

A

has a true zero point

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Qualitative

A

categorical characteristic; not continuous or numeric

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Nominal

A

reflects membership in groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Ordinal

A

includes greater or less than relationships

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Order of Variables

A

Nominal -> Ordinal -> Interval -> Ratio

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Experimental

A

variables are manipulated and their effects on other variables are measured (relationship between)

17
Q

Independent variable (IV)

A

manipulated

18
Q

Dependent variable (DV)

A

measured

19
Q

Control group

A

placebo/fake treatment; for comparison

20
Q

Extraneous variable

A

uncontrolled/uneliminated variable that can affect outcome

21
Q

Confounding variable

A

extraneous variable that mirrors IV outcome, making it difficult to determine relationship between IV and DV (frequently seen in human subjects)

22
Q

Raw scores

A

raw data collected through research; unedited

23
Q

Simple frequency distribution

A

ordered arrangement of scores that shows frequency

24
Q

Grouped frequency distribution

A

ordered arrangement of scores condensed into meaningful groups

25
Q

Class intervals

A

data grouped into equal-sized ranges

26
Q

Abscissa

A

horizontal axis (X)

27
Q

Ordinate

A

vertical axis (Y)

28
Q

Frequency polygon

A

quantitative; intersecting points of axes

29
Q

Histogram

A

quantitative; similar to bar graph but represents distribution of scores (discrete data/whole numbers); no gaps between bars

30
Q

Bar graph

A

categories of a qualitative variable; spaces between bars

31
Q

Line graph

A

relationship between two variables (X & Y); aka scatterplot

32
Q

Bell-shaped

A

most frequent scores fall around the mean (average); aka normal distribution/normal curve

33
Q

Positive/Right Skewed

A

frequency scores are low (tail points right)

34
Q

Negative/Left Skewed

A

frequency scores are high (tail points left)

35
Q

Rectangular

A

uniform distribution (X values have same frequency)

36
Q

Bimodal

A

2 humps