Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

MED-106 RESEARCH METHODS & STATS > 1. TYPES OF VARIABLES > Flashcards

1. TYPES OF VARIABLES Flashcards

1
Q
  1. What kind data can we say in this table?
A
  • Qualitative
  • Categorical
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q
  1. What kind of data can we see in this table?
A
  • Numerical
  • Quantitative
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q
  1. Provide labels for number 1-3.
A
  1. Numeric
  2. Continuous
  3. Discrete
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q
  1. Provide labels for 4-7.
A
  1. Categorical
  2. Normal Categorical
  3. Ordered Categorical
  4. Binary
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q
  1. What is Categorical Data based on?
A
  • it is based on a Qualitative Description
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q
  1. What is Numeric Data based on?
A
  • this describes data of a measurable quantity
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q
  1. What is Continuous Numeric Data?
A
  • this is when a variable can take any possible value
    within a given range
  • EG: Temperature in degrees Celsius
  • EG: integers, fractions, etc.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q
  1. What is Discrete Numeric Data?
A
  • this is when a variable can take only specific values
    within a given range
  • there are gaps in the range of variables
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q
  1. What is a Typical Discrete Variable?
A
  • it is a count of integers
  • EG: a specific number of teeth
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q
  1. What is Normal Categorical Data?
A
  • this is when a variable is divided into different
    categories
  • but these categories do not exist in an ordered way
  • EG: the brand of a car
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q
  1. What is Ordered Categorical Data?
A
  • this is when a variable is divided into different
    categories
  • these categories exist in an ordered manner
  • these categories are ordered on a scale
  • there are unknown gaps between categories due to the
    data not being numerical
  • EG: an educational level
    (elementary, high school, university)
    : strongly agree, agree, disagree, strongly disagree
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q
  1. What is Binary Categorical Data?
A
  • this is a categorical variable with only 2 categories
  • the categories are affected by a yes or no
  • EG: “does this person have a disease”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q
  1. Provide labels for 1-3.
A
  1. Numeric
  2. Interval Scale
  3. Ratio Scale
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q
  1. Provide labels for 4-6.
A
  1. Categorical
  2. Nominal Scale
  3. Ordinal Scale
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q
  1. What is Interval Scale Data?
A
  • this is very similar to Continuous Data
  • except there is no need for an absolute zero
  • this includes a variable whose values are graded in
    equal increments

EG:
- the distance from one value to the next is equal along
the whole range of values
- such as Temperature in Celsius
- 0 degrees Celsius is the freezing point of water
- water and heat are still present at this point

WHEREAS:
- 0 degrees Kelvin is the truest zero
- this is the complete absence of heat

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q
  1. What is Ratio Scale Data?
A
  • this is the same as the interval scale
  • except there is a true zero that exists
  • this means that there is a true absence of quantity
17
Q
  1. What is Nominal Scale Categorical Data?
A
  • this is when a variable is divided into different
    categories
  • these categories do not exist in an ordered way
  • EG: a person’s country of origin
18
Q
  1. What is Ordinal Scale Categorical Data?
A
  • this is when a variable is divided into different
    categories
  • these categories exist in an ordered manner
  • EG: low income, middle income, high income
19
Q
  1. What type of variables would you classify Blood Triglycerides as?
A
  • Numeric
  • Continuous (Ratio Scale)
20
Q
  1. What type of variables would you classify Dietary Patterns (very healthy, moderately healthy, unhealthy) as?
A
  • Categorical
  • Ordered (Ordinal Scale)
21
Q
  1. What type of variables would you classify the Cyprus District (Nicosia, Limassol, Larnaca, Paphos) as?
A
  • Categorical
  • Normal (Nominal Scale)
22
Q
  1. What type of variables would you classify the number of asthma attacked per month as?
A
  • Numeric
  • Discrete (Ratio Scale)
23
Q
  1. What can be said about Actual (Absolute) Numbers?
A
  • they are rarely informative
  • they do not aid to comparisons in general
  • they may be misleading
24
Q
  1. What is missing with these two data examples?
A
  • there are no proportions or parameters
  • we are missing the total population of both countries
25
Q
  1. What is one manner in which we can present Categorical Variables?
A
  • we can count the number of data values in each
    category
  • we can organise these counts into a frequency table
  • this table displays the numbers and the proportions
    for each category
26
Q
  1. What are two types of graphs we can use to present categorical data?
A
  1. Bar Charts
  2. Pie Charts
27
Q
  1. What is a Bar Chart?
A
  • it is a graph that displays the distribution of a
    categorical variable
  • it shows the counts for one category next to the
    other category
  • this allows for easy comparison

THE BARS:
- have the same widths
- they have equal spaces between the bars

28
Q
  1. What kind of graph is this an example of?
A
  • a clustered Bar Chart
29
Q
  1. What are Pie Charts?
A
  • these are charts that show the total population
    (sample size) as a circle
  • the circle is sliced into pieces
  • the size of the piece is proportional to the fraction of
    the whole in each category
30
Q
  1. What is a single, central and typical value for a given data variable that other values cluster around?
A
  • this is the centre (location) of distribution
  • this is known as the Measures of Central Tendency
31
Q
  1. What are the 3 Measures of Central Tendency?
A
  1. Mean
  2. Median
  3. Mode
32
Q
  1. What is the extent of the spread of the values of a given data variable?
A
  • these are known as the Measures of Dispersion
  • the values of the data variable are dispersed with
    respect to the Central value of the distribution
33
Q
  1. What are the 3 Measures of Distribution?
A
  1. Variance
  2. Standard Deviation
  3. Interquartile Range
34
Q
  1. Does this diagram make sense?
A
  • yes
35
Q
  1. Does this diagram make sense?
A
  • yes

MED-106 RESEARCH METHODS & STATS (8 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions