Module 1 Flashcards

1
Q

what are the three frequency distributions?

A

Frequency table
Grouped Frequency Table
Frequency Histogram

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2
Q

What does a frequency table show?

A

● Shows exact count of each value

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3
Q

What does a grouped frequency table show?

A

● Shows number of values within an interval of values

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4
Q

What does a histogram show?

A

● Looks like a bar graph but indicates frequencies

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5
Q

A normal curve is what 3 things?

A

Bell-shaped
Symmetrical
Unimodal

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6
Q

What are the 3 steps in presenting data?

A

Organize
Choose Summary Statistic
Present in Table or Graph

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7
Q

biased scale?

A

Using scale to skew
results

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8
Q

Sneaky Sample

A

participants in a study who are preselected or self-selected.

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9
Q

interpolation?

A

assuming value
between two points is
consistent

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10
Q

Extrapolation?

A

Values beyond data
points will continue
indefinitely

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11
Q

Inaccurate values?

A

Using scaling to
distort proportions

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12
Q

central tendency?

A

Describe the center of a
dataset

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13
Q

shape?

A

What does the
distribution of the data
look like?

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14
Q

Variability?

A

Describe how varied the
data are

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15
Q

What are the three types of descriptives?

A

central tendency
shape
variability

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16
Q

mean

A

mathematical average

17
Q

median

A

middle score

18
Q

mode

A

the most frequent score

19
Q

measures of central tendency

A

mean
median
mode

20
Q

Range

A

HIGHEST SCORE
(Xmax)– LOWEST
SCORE (Xmin)

21
Q

IQR

A

Q75% - Q25%

22
Q

Variance

A

SD squared

23
Q

Kurtosis

A

MEASURE OF TAIL THICKNESS
COMPARED TO NORMAL
MESOKURTIC – NORMAL
LEPTOKURTIC - THICKER TAILS
PLATYKURTIC – THINNER TAILS

24
Q

Random sample

A

Ideal – every member of the population has an equal
chance of being selected
Rarely used in social science

25
Q

convenience sample

A

Most common – uses readily available participants
Ex: the Sona participant pool (college student
required research participation

26
Q

issues with convenience samples

A

Generalizability
volunteer self-selection

27
Q

probability

A

the expected relative
frequency of an outcome; the likelihood
of events

28
Q

models of probability

A

uniform - prior knowledge always
Non-uniform - no prior
non uniform - prior

29
Q

two complex probabilities

A

Joint Events Compound Events
Two or more events
occurring together
“And”
Combination of simple
events as “successful”
“Or”