Topic 3: Data Visualization and Measure of Central Tendencies Flashcards

1
Q

The statistical measure that identifies a single value as representative of an entire distribution.

A

typical value

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2
Q

A graph or data set organized to show the frequency of occurrence of each possible outcome of a repeatable event observed many times.

A

frequency distribution

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3
Q

The middle number in a sorted, ascending or descending list of numbers.

A

median

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4
Q

A type of distribution in which more values are concentrated on the right side of the distribution graph while the left tail of the distribution graph is longer.

A

negatively skewed

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5
Q

A set of data is the difference between the largest and smallest values

A

range

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6
Q

The value that appears most frequently in a data set

A

mode

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7
Q

Excel formula to get the mean of a data set.

A

=average(data)

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8
Q

The distributions that occur when the long tail is on the right side of the distribution.

A

positively skewed

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9
Q

The average of the given set of values.

A

mean

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10
Q

A chart that plots the distribution of a numeric variable’s values as a series of bars.

A

histogram

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11
Q

Sources of Data - MANUAL

A

AUDITS
INSPECTIONS
SURVEYS
WARRANTS
INVOICES
CLAIMS

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12
Q

Sources of Data - AUTOMATED

A

POS System
IoT (Internet of things)
Sensors

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13
Q

EXCEL VISUALIZATION

A

Pie
column
statistical
hierarchy
X Y scatter plot
Waterfall
combo
Line
Maps

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14
Q

Data Visualization purposes

A

Comparison; Composition; Relationship; Distribution

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15
Q

is a measure of symmetry

A

skewness

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16
Q

range is greater than number of data we wil use

17
Q

range is less than number of data we wil use

A

frequency distribution

18
Q

Skewed to the Right ; The right tail is longer

A

positively skewed (> + 1) use MEDIAN

19
Q

Skewed to the left ; The left tail is longer

A

negatively skewed (< - 1) use MEDIAN

20
Q

between -1 & + 1 or anything +0/-0

A

Relatively symmetric use MEAN

21
Q

For symmetric distributions, the mean, median, mode almost coincide USE ___ Instead

22
Q

Decision & Outcome process (6)

A

Data > Analysis > Insights > Decision > Action > Outcome

23
Q

is a measure that captures the typical user’s experience.

24
Q

3 ways to get Typical value

A

Range
Measure of central tendencies (Mean, median, mode)
Skewedness

25
center/middle value
typical value (mean)
26
It shows the dispersion/spread of ur data within the data sets.
range
27
It contains all data use have in a particular sets/column highlighted.
range
28
To describe what kind of distributions of the data is this.
skewedness
29
Using Skewness, we can now determine what the typical value of data is. And we will use ANY OF MEASURE OF TENDENCIES to determine the typical value.
True