Introduction and descriptive statistics Flashcards

1
Q

what are the 2 main types of data in statistics?

A
  • qualitative/categorical
  • quantitative/numerical
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2
Q

what are the types of categorical/qualitative data?

A
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3
Q

what are the types of quantitative/ numerical data?

A
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4
Q

in qualitative/categorical data, if we have 2 categories, what is it called?

A

binary

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5
Q

in qualitative/categorical data, if we have more categories but they are just named, what is it called?

A

nominal

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6
Q

in qualitative/categorical data, if we have categories that have an order, what is it called?

A

ordinal

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7
Q

does qualitative data have anything to do with qualitative research?

A

no - it is 2 different concepts

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8
Q

give an example of categorical data/ qualitative

A
  • Colour of a person’s hair (black, gray, red, blonde, brown, …)
  • Gender of a child (male, female)
  • County of residence of a British citizen (Southeast, Southwest, London, Midlands, Yorkshire, Northeast, Northwest,…)
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9
Q

what is categorical data with only 2 levels called?

A

binary

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10
Q

what is another word for binary data

A

Dichotomous

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11
Q

give examples of binary data

A
  • Dead/alive
  • Treatment/placebo
  • Disease/no disease
  • Exposed/Unexposed
  • Heads/Tails
  • Caries (yes/no)
  • Male/female
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12
Q

categorical data

describe nominal data

A

named categories
order doesnt matter

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13
Q

give examples of nominal data

A
  • The blood type of a patient (O, A, B, AB)
  • Marital status
  • Occupation
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14
Q

categorical data:

describe ordinal data

A

categorical data

order matters

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15
Q

categorical data:

give an example of ordinal data

A
  • Stages of cancer: I, II, III, or IV
  • Birth order: 1st, 2nd, 3rd, etc.
  • Ratings on a scale from 1-5
  • Socio-economic status
  • Education level
  • Age in categories (10-20, 20-30, etc.)
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16
Q

what is Quantitative data?

A

Numerical variables; may be arithmetically manipulated.

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17
Q

give an example of quantitative data

A
  • Number of patients in a dental hospital per day (counts: 0, 1, 2, 3)
  • Survival time of a patient diagnosed with oral cancer (nearest day: 0, 1, 2, …, 10000)
  • Number of teeth (counts: 0,1,2,3,…)
  • Weight of a child: kg
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18
Q

whats a good way of seeing whether data is quantitative/numerical or not?

A

add up the values and if it is numerical then it is probably numerical

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19
Q

quantitative data - what are discrete numbers?

A

a limited set of distinct values, such as whole numbers.

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20
Q

quantitative data - list some examples

A
  • Number of new patients registered in your dental practice in a year (counts)
  • Years of school completed
  • The number of children in the family (cannot have a half a child!)
  • DMFT/DMFS score (total number of teeth or surfaces that are decayed (D), missing (M), or filled (F) in an individual)
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21
Q

Quantitative data - define continuous data

A

Can take on any number within a defined range.

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22
Q

Quantitative data - list some examples

A
  • Time
  • Age
  • Blood pressure
  • Speed of a car
  • Width of a central incisor
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23
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

number of teeth

A

discrete

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24
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

age

A

continuous

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25
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

(age last birthday (years))

A

discrete

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26
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Has patient visited their dentist in the last year?

A

binary

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27
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Socio-economic status

A

ordinal

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28
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Pocket depth

A

continuous

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29
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Hardness of filling material

A

This depend on how you measure hardness? In numerical values or in category?

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30
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Colour of filling material

A

nominal

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31
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Type of radiograph

A

nominal

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32
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Calcium : phosphorus ratio in teeth

A

continuous

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33
Q

What types of data is the following (binary, nominal, ordinal, numerical discrete or numerical continuous)?

Severity of gum disease

A

ordinal

34
Q

define Descriptive statistics

A

they are methods of organizing, summarizing, and presenting data in a convenient and informative way.

35
Q

what are the 2 methods of Descriptive statistics

A
  • Graphical Techniques (visualization of data)
  • Numerical Techniques (using numeric and tabular form)
36
Q

The actual method used for descriptive statistics depends on what information we would like to extract.

what 2 measures are we insterested in? (descriptive stats help to answer these questions)

A

measure(s) of central location? and/or
measure(s) of variability (dispersion)?

37
Q

what does data visualization mean?

A

looking at data

38
Q

during data visualisation, we are looking at how the data is distributed

what is meant by this? (3)

A

Where is the center?
What is the range?
What’s the shape of the distribution?

39
Q

during data visualisation, other than looking at how the data is distributed, what other 2 things are we looking at?

A

Are there “outliers”?
Are there data points that don’t make sense?

40
Q

frequency plots - what kind of plots do we use for categorical data?

A

bar chart

41
Q

frequency plots - what kind of plots do we use for continuous data?

A

Histogram
Box Plot

42
Q

why would we use histograms or box plot for continuous data?

A

To show the distribution (shape, center, range, variation) of continuous data/variables.

43
Q

Distribution Shape and Box-and-Whisker Plot show the same thing

A
44
Q

visualising data/ summary measures

when describing data numerically, what 2 things would we focus on?

A

central tendancy
variation

45
Q

list the 3 measures of central tendancy

A

Mean
Median
Mode

46
Q

how do we calculate the mean

A
47
Q

what is the mean affected by?

A

The mean is affected by extreme values (outliers)

48
Q

define the median

A

the exact middle value

49
Q

what is the median calculation?

A

If there are an odd number of observations, find the middle value
If there are an even number of observations, find the middle two values and average them

50
Q

is the median affected by extreme values/ outliers?

A

no

51
Q

define mode

A

the value that occurs most frequently

52
Q

is mode affected by extreme values?

A

no

53
Q

what type of data can mode be used for?

A

either numerical or categorical

54
Q

what is the most common measure of central tendancy?

A

mean

55
Q

when would median be used?

A

when we have extreme outliers

56
Q

what is the relation between mean, median and mode?

A

no relation between them

57
Q

define the measures of dispersion

A

Measures of variation give information on the spread or variability of the data values.

58
Q

list the measures of dispersion

A
59
Q

Quartiles

what is the first quartile?

A

Q1, is the value for which 25% of the observations are smaller and 75% are larger

60
Q

Quartiles

what is the second quartile?

A

Q2 is the same as the median (50% are smaller, 50% are larger)

61
Q

Quartiles

what is the third quartile?

A

Only 25% of the observations are greater than the third quartile Q3

62
Q

how is interquartile range calculated?

A
63
Q

what may interuatile range be represented by?

A

box plot

64
Q

define sample variance

A

Average (roughly) of squared deviations of values from the mean

65
Q

why do we square deviations?

A
66
Q

define Standard Deviation

A

square root of sample variance

67
Q

why is standard deviation the most commpnly used measure of deviation?

A

Shows variation about the mean
Has the same units as the original data

68
Q
A

d

69
Q
A

a

70
Q

what is the role of the shape of a distribution?

A
  • Describes how data are distributed
  • Measures of shape
    * Symmetric or skewed
71
Q

if the distribution is left-skewed, what does that indicate about the relationship between the mean and median?

A
72
Q

if the distribution is symmetric, what does that indicate about the relationship between the mean and median?

A
73
Q

if the distribution is right-skewed, what does that indicate about the relationship between the mean and median?

A
74
Q
A

a

75
Q
A

c

76
Q
A

c

77
Q
A

c

78
Q
A

d

79
Q
A

a

80
Q
A

a