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Lecture 2 Chapters 2&3 Flashcards

1
Q

What are the three levels of measurements?

A

Nominal
Ordinal
Normal or Scale

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2
Q

What is nominal data?

A

Assign numerical values to categories of a variable

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3
Q

Name the type of data:
Numerical values act as a pen name for the categories

A

Nominal

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4
Q

Name the type of data:
The choice of the numerical values is arbitrary

A

Nominal

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5
Q

Name the type of Data:
Numerical values cannot be ordered or ranked

A

Nominal

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6
Q

Name the data:
Values are mutually exclusive and exhaustive

A

Nominal

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7
Q

Does NOT make sense to do mathematical analysis on what type of data

A

Nominal

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8
Q

What is dichotomous data?

A

Are categorical variables with only two levels/scores
/values

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9
Q

what type of data is:
gender 1=male, 2 female

A

Dichotomous

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10
Q

What is ordinal data?

A

Use numerical values to represent categories of a variable

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11
Q

Name the data:
Use numerical values to represent categories of a variable

A

Ordinal

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12
Q

Name the data:
Categories can be ordered or ranked (e.g., from low to high)

A

Ordinal

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13
Q

Name the data:
Mutually exclusive and exhaustive

A

Ordinal

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14
Q

Definition of Mutually exclusive

A

Mutually exclusive is a statistical term describing two or more events that cannot happen simultaneously.

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15
Q

Subjective ratings have _____ measurement properties

A

Ordinal

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16
Q

Are the intervals between categories in ordinal data equal?

A

Intervals between categories are not equal

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17
Q

What is normal/scale data?

A

data that has a infinite number of possible values

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18
Q

What data can have a true zero?

A

Normal/scale

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19
Q

What data is normally distributed and continuous

A

Normal/scale

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20
Q

What type of data is height

A

normal

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21
Q

Are the intervals equal in normal data?

A

yes equal intervals between values

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22
Q

What type of data allows for certain kinds of statistical tests, called ‘parametric’ statistics

A

Normal

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23
Q

______statistical tests have more ‘power’ (or ability) to detect relationships and/or differences

A

parametric

24
Q

What type of data allows for the use of nonparametric statistics?

A

Nominal & Ordinal

25
______statistical tests have less ‘power’ to detect relationships and/or differences
Nonparametric
26
Best data for frequency distribution chart?
Nominal, Ordinal
27
Which percent do you use from the frequency distribution table?
Valid percent
28
what type of data is best for a bar chart?
Nominal, Ordinal
29
what type of data is best for a histogram?
Normal/Scale
30
what type of data is best for frequency polygon?
Normal/scale
31
What type of data: What color is your hair?
Nominal
32
What type of data: What's your nationality?
Nominal
33
What type of data: "How likely are you to recommend our services to your friends?"
Ordinal
34
What type of data: What is your zipcode?
Nominal
35
What type of data: What is your political preferences?
Nominal
36
What type of data: What is your employment status?
Nominal
37
What type of data: frequency of physical exercise 1. Never 2. Rarely 3. Sometimes 4. Often 5. Always
Ordinal
38
What type of data: What is the level of agreement?
Ordinal
39
What type of data: Income level?
Ordinal
40
The ____ can almost always be found for ordinal data
mode
41
The ______ cannot be computed with ordinal data. Mean or Median or Mode
mean
41
The ______ cannot be computed with ordinal data.
mean
42
What’s the difference between nominal and ordinal data?
Nominal level data can only be classified, while ordinal level data can be classified and ordered.
43
Are Likert scales ordinal/scale/nominal data?
Ordinal
44
Why are likert scales ordinal data?
because the items have clear rank order, but don’t have an even distribution.
45
What is nominal data?
Data can only be categorized
46
What is ordinal data?
Data can be categorized and ranked
47
What type of data: city of birth
nominal
48
What type of data: gender
nominal/dichotomous
49
What type of data: car brands?
Nominal
50
What type of data: marital status
Nominal
51
You can categorize and rank your data in an order, but you cannot say anything about the intervals between the rankings. What measurement ?
Ordinal
52
What type of data: IQ test
scale
53
What type of data; Personalities inventories
scale
54
What type of data; temperature in f or c
scale

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