STATISTIC FOR COMPUTING (CSNB293)

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STATISTIC FOR COMPUTING (CSNB293) MODULE 1 GRAPHICAL DATA REPRESENTATION

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STATISTIC FOR COMPUTING (CSNB293). MODULE 1 GRAPHICAL DATA REPRESENTATION. Variables. A variable is a characteristic that may changes under different circumstances Examples: Hair color – varies between individuals White blood cell count – varies between individuals - PowerPoint PPT Presentation

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Page 1: STATISTIC FOR COMPUTING (CSNB293)

STATISTIC FOR COMPUTING (CSNB293)

MODULE 1GRAPHICAL DATA REPRESENTATION

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Variables

A variable is a characteristic that may changes under different circumstances

Examples: Hair color – varies between individuals White blood cell count – varies between

individuals Class schedule – varies between courses Time to failure of a computer component

– varies between different computers Transmission error rate – varies between

different types of transmission cables, length of cable segment

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Basic Statistics Terminologies An experimental unit

The individual or object on which a variable is measured.

A measurementThe results when a variable is actually measured on an experimental unit

A populationa set of entities concerning which statistical inferences are to be drawn

A sampleA sub-set of entities drawn from the overall population

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Example 1

Variable First Year IPTS’s Student Results

Experimental Unit

Student

Measurement Above 3.0 CGPABetween 2.0 and 3.0 CGPABelow 2 CGPA

Population IPTS’s students

Sample UNITEN’s students, MMU students

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Graphical Data Representations

Data can be represented using graphs / charts.

The choice of graph / chart is very much dependent on the nature of data.

A single variable measured for different population segments can be graphed using a pie or bar chart.

A histogram can be used to illustrate several variables measured for different population segment.

A single variable measured over time is called a time series. It can be graphed using

a line or bar chart.

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Bar Chart Vs. Pie Chart

Bar Chart

Pie Chart

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Histogram

Histogram

0

0.5

1

1.5

2

2.5

3

3.5

Do Re Mi

GPACGPA

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Line Chart

Line Chart

September

October

November

December

January

February

March

178.10 177.60 177.50 177.30 177.60 178.00 178.60

CONSUMER PRICE INDEX

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Line Chart Vs. Bar Chart

LINE CHART

BARCHART

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Dotplots

Plots the measurements as points on a horizontal axis, stacking the points that duplicate existing points.

Example: The set 4, 5, 5, 7, 6

4 5 6 7

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Stem and Leaf Plots

Divide each measurement into two parts: the stem and the leaf.

List the stems in a column, with a vertical line to their right.

For each measurement, record the leaf portion in the same row as its matching stem.

Order the leaves from lowest to highest in each stem.

Provide a key to your coding

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Example of Stem and Leaf Plots

The prices ($) of 18 brands of walking shoes:90 70 70 70 75 70 65 68 6074 70 95 75 70 68 65 40 65

4 0

5

6 5 8 0 8 5 5

7 0 0 0 5 0 4 0 5 0

8

9 0 5

4 0

5

6 0 5 5 5 8 8

7 0 0 0 0 0 0 4 5 5

8

9 0 5

Reorder

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Interpreting Graphs: Location & Spread

Where is the data centered on the horizontal axis, and how does it spread out from the center?

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Interpreting Graphs: Shapes

Mound shaped and symmetric (mirror images)

Skewed right: a few unusually large measurements

Skewed left: a few unusually small measurements

Bimodal: two local peaks

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Interpreting Graphs: Outliers

Are there any strange or unusual measurements that stand out in the data set?

Outlier

No Outliers

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Example of Interpreting Graphs: Outliers A quality control process measures the

diameter of a gear being made by a machine (cm). The technician records 15 diameters, but inadvertently makes a typing mistake on the second entry.

1.991 1.891 1.991 1.9881.993 1.989 1.990

1.988

1.988 1.993 1.991 1.9891.989 1.993 1.990

1.994

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STATISTIC FOR COMPUTING(CSNB293)

GRAPHICAL DATA REPRESENTATION

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