LESSON 13 Flashcards

1
Q

Are procedures for organizing and summarizing sample data whenever your purpose is merely to describe a set of data, you are employing descriptive statistics

A

DESCRIPTIVE STATISTICS

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

Are procedures for drawing inferences about the scores and relationship that would be found in the population.

A

INFERENTIAL STATISTICS

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

Complete set of events in which you are interested

A

POPULATION

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

Can be defined as the entire collection of events in which you are interested.

A

POPULATION

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

Set of actual observations; subset of a population

A

SAMPLE

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

Numerical value summarizing sample data.

A

STATISTIC

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

Numerical value summarizing population data.

A

PARAMETER

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

Consists of numerical measurements or counts

A

MEASUREMENT/QUANTITATIVE DATA

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

Consists of attributes, labels, or non - numerical entries

A

CATEGORICAL/ QUALITATIVE DATA

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

Result when the number of possible values is either a finite number or a “countable” number

A

DISCRETE DATA

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

result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions, or jumps

A

CONTINUOUS (NUMERICAL) DATA

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

Characteristics of relations among numbers assigned to objects

A

SCALE OF MEASUREMENT

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

determines which statistical calculations are meaningful.

A

LEVEL OF MEASUREMENT

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

a variable that does not really have any evaluative distinction. Examples: sex (gender), jersey number, colors, ethnicity, marital status, birth place

A

NOMINAL

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

Calculated using names, labels, or qualities. No mathematical computations can be made at this level

A

NOMINAL

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

there is “order”. One value is greater than or better than the other. Examples: ratings, education levels, socio economic status (low income, average income, high income), top 5 in a contest

A

ORDINAL

17
Q

Arranged in order, the differences between data entries are not meaningful.

A

ORDINAL

18
Q

Arranged in order, the differences between data entries can be calculated.

A

INTERVAL

19
Q

data can be categorized and ranked but evenly spaced, and zero is no true point. Examples: test scores, personality inventories, temperature

A

INTERVAL

20
Q

same with interval but zero is true point.
Examples: height, age, weight,

A

RATIO

21
Q

A ratio of two data values can be formed so one data value can be expressed as a ratio.

A