Unit 4: Describing Data: Distribution Flashcards

1
Q

Frequency Distributions

A

How many people (or objects, animals, items) were similar on the variable
that they have the same score or are in the same category

Can be used for qualitative (categorical) and quantitative data

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2
Q

Simple vs. Grouped:

A

A grouped frequency distribution includes class intervals in
which data are grouped together.
* A grouped frequency distribution is used rather than listing out
individual data.v

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3
Q
  • Conventions of a grouped frequency distribution:
A

The groups must have equal ranges.

A particular score or observation can fit into only one group.

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4
Q

What is displayed on a frequency distribution table:

A

Frequency (raw count)

Relative Frequency (proportion or percent)

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5
Q

Cumulative Frequency Distributions

A

Sum of the group and all groups below (or above) it in a frequency
distribution

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5
Q

graphs for Categorical Variables

A

Pie chart

Bar graphs

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6
Q

graphs for Continuous Variables

A
  • Histograms
  • Boxplots
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7
Q

Categorical Variables

A

The distribution lists the categories/ or groups and gives the count or percent of individuals who fall into each category.

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8
Q

a diagram consisting of rectangles whose
area is proportional to the frequency of a variable and whose
width is equal to the class interval

A

Histograms

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9
Q

drawing a histogram

A

For large datasets and/or quantitative variables that take many
values:
▪ Divide the possible values into bins (e.g., classes, intervals) of equal
widths.
▪ Count how many observations fall into each interval.
▪ Draw a picture representing the distribution―each bar height is equal
to the number (percent) of observations in its interval

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10
Q

Distributional Shape

A

“Normal” or “Skewed”?
* Unimodal or Multimodal?

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11
Q

The Normal Distribution

A

Bell-shaped curve
* Perfectly normal
* Symmetrical
* Tails never touch the horizontal axis
* Unimodal

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12
Q

Skewed Distribution

A

Not symmetrical
* Positively skewed
* Skewed to the right

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13
Q

Skewed Distribution

A

Negatively skewed
* Skewed to the left

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14
Q

Unimodal

A
  • 1 peak: data congregate around one key location
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15
Q

Multimodal

A

Bimodal
* Data are grouped around 2 locations

Trimodal
* Data are grouped around 3 locations

16
Q

Histogram

A

One (metric) variable only
* Shows frequency distribution
* Frequency
* Count
* Percentage
* Density
* X-axis is continuous, bars are
equal intervals

17
Q

Bar Chart

A

Can be 1 categorical variable OR
* 2 variables

18
Q

*In describing a dataset, you want these 3 things:

A

distribution, central
tendency, and variation

19
Q

univariate descriptions

A

Distribution
* Plotting/picturing
* Shape
* Central Tendency
* Variability

20
Q
A