Week 3: Descriptive Analysis Of Numerical Data Flashcards

1
Q

Descriptive analysis of numerical data

A

1) Frequency distributions
2) Study of the shape of data
3) Measures of central and non central tendency
4) Measures of variability

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2
Q

Frequency distributions are shown as

A

1) Tables 2) graphs (histograms or dotplots)

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3
Q

Histograms

A

To display continuous data related to the frequency

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4
Q

With small sample sizes we use

A

Dotplots

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5
Q

Frequency distributions present different shape

A

1) skewed to the left
2) symmetric
3) skewed to the right

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6
Q

If histograms show always decreasing or always increasing frequencies the distribution is said to be

A

J shaped

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7
Q

If frequencies are decreasing in the left side of the histogram and increasing in the right side of the histogram the distribution is said to be

A

U shaped

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8
Q

If frequencies are decreasing in the left side of the histogram and increasing in the right side of the histogram the distribution is said to be

A

U shaped

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9
Q

Sometimes there are data that do not fall near any other values. These extremely high or low values are called

A

Outliers

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10
Q

Sometimes there are data that do not fall near any other values. These extremely high or low values are called

A

Outliers

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11
Q

How do we calculate percentages

A

Dividing counts by the sample size and multiplying by 100

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12
Q

For which kind of variables do bar charts display frequency distribution?

A

For discrete variables

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13
Q

For which kind of variables do histograms display frequency distributions ?

A

For continuous variables

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14
Q

Most common measures of central tendency

A

Mean and median

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15
Q

What is the median

A

Middle value in a sorted list of data

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16
Q

When is median a better indicator of the central tendency of data ?

A

In skewed data or data with extreme values

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17
Q

When do we have a negative skewness?

A

When the median is bigger than the mean

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18
Q

When do we have symmetry?

A

When the mean is equal to the median

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19
Q

When do we have positive skewness?

A

Then the median is smaller than the mean

20
Q

Measures of non central tendency for numerical data

21
Q

First quartile

A

25% of the data are less than Q1 and 75% are greater than Q1

22
Q

Second quartile

A

50% of the data are less than Q1 and 50% of the data are greater

23
Q

Third quartile

A

75% of the data are less than Q3 and 25% are greater than Q3

24
Q

Quantiles are

A

Values at specific positions in the sorted list of data

25
What does the term variability refers to?
How spread out the data is
26
Which are the four widely used measures of variation?
Range, interquartile range, variance and standard deviation
27
What is the range?
The difference between the maximum value and the minimum value in a data set
28
What is the interquartile range?
The difference between the first quartile and the third quartile
29
Standard deviation quantifies variability in the same …
Units of measure
30
Standard deviation quantifies variability in the same …
Units of measure
31
The greater the standard deviation is
The greater the spread of the data
32
The greater the standard deviation is
The greater the spread of the data
33
How to calculate the standard deviation
The square root of variance
34
How to calculate the coefficient of variation
Standard deviation/ mean x 100
35
The higher the coefficient of variation
The higher the variability
36
The coefficient of variation is useful to compare variability of
1) different variables 2) variables which are not measured in the same units of measurement 3) variables with different mean
37
When is the coefficient of variation used
When we want to compare the variability among different sets of data or different variables
38
Boxplots help to
Summarize the shape of data
39
Histograms display
Frequency distributions for continuous variables
40
Histograms display
Frequency distributions for continuous variables
41
In a skew distribution
Use the mean as a measure of central tendency
42
The standard deviation represents the average distance of data values from the mean True or false
True
43
The standard deviation represents the average distance of data from the median True or false
False
44
The greater the standard deviation the lower the variability
False
45
The greater the standard deviation the lower the variability True or false
False
46
The greater the standard deviation the greater the variability
True
47
The coefficient of variation is typically useful to
Compare the variability among different sets of data or different variables