Chapter 3 Flashcards

1
Q

Are methods used to PROVIDE A CONCISE DESCRIPTION of a collection of quantitative information.

A

DESCRIPTIVE STATISTICS

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2
Q

Are methods USED TO MAKE INFERENCES FROM OBSERVATIONS of a small group of people known as a sample to a larger group of individuals known as a population.

A

INFERENTIAL STATISTICS

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3
Q

Act of assigning numbers or symbols to characteristics of things according to rules. The rules serves as a guideline for representing the magnitude. It always involves error.

A

MEASUREMENT

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4
Q

Set of numbers whose properties model empirical
properties of the objects to which the numbers are assigned.

A

SCALE

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5
Q

Interval/ratio. A scale used to measure
continuous variable. Always involves error.

A

CONTINUOUS SCALE

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6
Q

Nominal/ordinal used to measure a discrete
variable (ex. Female or male)

A

DISCRETE SCALE

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7
Q

Collective influence of all of the factors on a test error.

A

ERROR

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8
Q

The property of “moreness”
A scale has the property of magnitude if we can say that a particular instance of the attribute
represents more, less, or equal amounts of the given quantity than does another instance.

A

MAGNITUDE

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9
Q

A scale has the property of equal intervals if the difference between two points at any place on the scale has the same meaning as the difference between two other points that differ by the same number of scale units.

A

EQUAL INTERVAL

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10
Q

Obtained when nothing of the property being measured exists.

This is extremely difficult/impossible for many
psychological qualities.

A

ABSOLUTE 0

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11
Q

Simplest form of measurement.

Used for naming or describing things. They
simply classify subjects into categories.

Arithmetic operations can be performed.

Ex.) Male or female
Ex.) yes/no responses

A

NOMINAL SCALE

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12
Q

Classifies in some kind of ranking order.

Individuals compared to others and assigned a rank.

Imply nothing about how much greater one ranking is than another.

Numbers/ranks do not indicate units of measure.

No absolute zero point.

A

ORDINAL SCALE

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13
Q

He believed that data derived from
intelligence test are ordinal in nature.

A

Alfred Binet

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14
Q

Assign numbers to indicate whether individuals are less than, greater than, or equal to each other.

Can take average.

Shows difference between scores.

A

INTERVAL SCALE

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15
Q

Have “true” value of zero.

Ex.) measuring amount of pressure hand can
exert

A

RATIO SCALE

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16
Q

Set of scores arrayed for recording or study.

A

DISTRIBUTION

17
Q

Straightforward, unmodified accounting of performance, usually numerical.

18
Q

All scores listed alongside the
number of times each score occurred.

A

FREQUENCY DISTRIBUTION

19
Q

Test-score intervals (class intervals), replace the actual test scores
Ex.) Highest and lowest class intervals= upper and lower limits distribution.

A

GROUPED FREQUENCY DISTRIBUTION

20
Q

Graph with vertical lines drawn at the true limits of each test score (or class interval) forming TOUCHING rectangles- midpoint in center of bar.

21
Q

Rectangles DON’T touch.

22
Q

Data illustrated with continuous line connecting the points where test scores or class intervals meet frequencies.

A

FREQUENCY POLYGON

23
Q

Statistic that indicates the average or midmost score between the extreme scores in a distribution.

A

MEASURE OF CENTRAL TENDENCY

24
Q

“X bar”

Sum of observations divided by number of
observations.

Sigma (X/n)

Used for interval or ratio data when distributions are relatively normal.

A

ARITHMETIC MEAN

25
Q

The Middle Score.

Used for ordinal, interval, and ratio data.

Especially useful when few scores fall at
extremes.

26
Q

Most frequently-occurring score.

Bimodal distribution- 2 scores both have highest frequency.

27
Q

2 scores both have highest frequency.

A

BIMODAL DISTRIBUTION

28
Q

Indication of how scores in a distribution are scattered or dispersed.

A

VARIABILITY

29
Q

Any statistics that describe the amount of variation in a distribution.

A

MEASURE OF VARIABILITY

30
Q

Difference between the highest and lowest
scores.

Quick but gross description of the spread of
scores.

31
Q

Distribution is split up by 3 quartiles, thus making 4 quarters each representing 25% of the scores.

A

INTERQUARTILE AND SEMI-INTERQUARTILE RANGE

32
Q

Measure of variability equal to the difference between Q3 and Q1.

A

INTERQUARTILE RANGE

33
Q

Interquartile range divided by 2.

A

SEMI-INTERQUARTILE

34
Q

Is the 25th percentile.

A

FIRST QUARTILE

35
Q

The median or the 50th percentile.

A

SECOND QUARTILE

36
Q

Is the 75th percentile.

A

THIRD QUARTILE