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Stats > Lecture 2 Chapters 2&3 > Flashcards

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
Q

______statistical tests have less ‘power’ to detect relationships and/or differences

A

Nonparametric

26
Q

Best data for frequency distribution chart?

A

Nominal, Ordinal

27
Q

Which percent do you use from the frequency distribution table?

A

Valid percent

28
Q

what type of data is best for a bar chart?

A

Nominal, Ordinal

29
Q

what type of data is best for a histogram?

A

Normal/Scale

30
Q

what type of data is best for frequency polygon?

A

Normal/scale

31
Q

What type of data:
What color is your hair?

A

Nominal

32
Q

What type of data:
What’s your nationality?

A

Nominal

33
Q

What type of data:
“How likely are you to recommend our services to your friends?”

A

Ordinal

34
Q

What type of data:
What is your zipcode?

A

Nominal

35
Q

What type of data:
What is your political preferences?

A

Nominal

36
Q

What type of data:
What is your employment status?

A

Nominal

37
Q

What type of data:
frequency of physical exercise
1. Never
2. Rarely
3. Sometimes
4. Often
5. Always

A

Ordinal

38
Q

What type of data:
What is the level of agreement?

A

Ordinal

39
Q

What type of data:
Income level?

A

Ordinal

40
Q

The ____ can almost always be found for ordinal data

A

mode

41
Q

The ______ cannot be computed with ordinal data.
Mean or Median or Mode

A

mean

41
Q

The ______ cannot be computed with ordinal data.

A

mean

42
Q

What’s the difference between nominal and ordinal data?

A

Nominal level data can only be classified, while ordinal level data can be classified and ordered.

43
Q

Are Likert scales ordinal/scale/nominal data?

A

Ordinal

44
Q

Why are likert scales ordinal data?

A

because the items have clear rank order, but don’t have an even distribution.

45
Q

What is nominal data?

A

Data can only be categorized

46
Q

What is ordinal data?

A

Data can be categorized and ranked

47
Q

What type of data:
city of birth

A

nominal

48
Q

What type of data:
gender

A

nominal/dichotomous

49
Q

What type of data:
car brands?

A

Nominal

50
Q

What type of data:
marital status

A

Nominal

51
Q

You can categorize and rank your data in an order, but you cannot say anything about the intervals between the rankings.
What measurement ?

A

Ordinal

52
Q

What type of data:
IQ test

A

scale

53
Q

What type of data;
Personalities inventories

A

scale

54
Q

What type of data;
temperature in f or c

A

scale

Stats (8 decks)

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