Module 2-2 Flashcards

(43 cards)

1
Q

What are the ways to Summarize Categorical (Qualitative) Data?

A

Bar Chart

Pie Chart

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2
Q

What are the ways to Summarize Numerical (Quantitative) Data

A
Dot Plot
Stem Plot
Histograms
Time Plots
Box Plots
Scatter Plots
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3
Q

What are they ways to describe Summarizations?

A

Shapes
Center
Spread

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4
Q

What are the types of Shapes 1?

A

Modes
Symmetry or Skewness
Deviation or outliers

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5
Q

What are the types of Shapes 2?

A

Uniform - No mode
Unimodal - A single peak
Bimodal - Two peaks

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6
Q

When is a graph symetrical?

A

When you can draw a vertical line so that the both sides are mirror images

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7
Q

What does a Positively skewed, or skewed to the right graph look like?

A

A peak more to the left

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8
Q

What does a Negatively skewed, or skewed to the left graph look like?

A

A peak more to the right

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9
Q

What is Skewness caused by?

A

Unusual values or deviation from overal pattern

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10
Q

What is the Center?

A

The value that splits the data in half or a typical range of values at the center of the graph

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11
Q

What are the types of Centers?

A

Mean, Median, Mode

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12
Q

What is Spread?

A

The range of values. If they are far apart or close together

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13
Q

What is the most common type of graph?

A

A Histogram

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14
Q

What is the downside to histograms?

A

Data values from a stem and leaf plot are retained but not with histograms

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15
Q

How does an outlier affect a mean?

A

If the set of observation includes an outlier, the mean value will be drawn in the direction of the outlier

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16
Q

What is the mean not resistant to?

A

Outliers

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17
Q

What do we use instead of mean when there are outliers?

A

Median

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18
Q

What is the Median?

A

The value that divides the ordered sample in two sets of the same size

19
Q

How can the median be found?

A

By finding the value that is in the middle, if there is an even number take the value of the two numbers in the video

20
Q

What is the mode?

A

The value that occurs with the highest frequency in a data set

21
Q

What does the mode look like on a graph?

A

Where the distribution is tallest

22
Q

What are the mean, median and mode in a symetric distribution?

A

ȳ = M = mode

23
Q

What is the relationship with the mean, median and mode in a positively skewed distribution?

A

mean > median > mode

24
Q

What is the relationship with the mean, median and mode in a negatively skewed distribution?

A

mean < median < mode

25
What are the 3 measures of Variability?
Range Variance and standard deviation IQR
26
What is the range?
Range is the simple numerical measure of variability that gives the difference between the largest maximum and the smallest minimum
27
What does a large range mean?
A greater variability
28
What is deviation?
The difference of an observation from the mean (y)
29
When is a deviation positive?
If the observation is greater than the mean
30
When is the deviation negative?
When the observation is less the the mean
31
What is the formula for deviation?
(observation-mean)
32
What does the Set of Deviations describe?
The variability of the data
33
What is Variance?
The sum of the squared deviations
34
What is the Standard Deviation?
The square root of the Variance and is denoted by s
35
What is the most commonly used measure of Variation?
Standard Deviation
36
When does the standard deviation equal 0?
When there is no spread
37
When does is the standard deviation greater than 0?
When the observations become more spread out
38
What is the Standard deviation not resistant to?
Skewness
39
When is Interquartile range (IQR) used?
When there are outliers
40
What is used as the center in Standard deviation?
Mode
41
What is used as the center in IQR?
The Median or Q2
42
When will the IQR be small?
When the data is clustered around the center
43
what does a boxplot show?
The center, spread, and symmetry or skewness at the same time