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# Analysis of Data

Table of Contents

## Analysis of Data

Examining the numerical figures in detail.

## Techniques of analysing Data

1. Calculation of Percentages

-If in the study of a farm 10 hectares are devoted to coffee, what is the % of the area under coffee?

10/100×10%

The table below shows the number of tourists who visited Kenya from various parts of the world in 2006.

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1. a) Calculate percentage increase of tourists from Africa between 2005 and 2006.

## Measures of Central Tendency

– Outstanding general characteristics of the data.

1. a) Arithmetic Mean

– The average

Advantages

• Easy to calculate for a small data
• Summarises data using a single digit
• Easy to understand and interpret

Disadvantages

• Difficult to calculate for grouped data
• Affected by extreme values
1. b) Median

– The middle value in a set of data arranged in order.

M= (N+1)/2

(I) 20, 50, 90, 100, 150, 180, 200, 220, 240, 300, 360.

(II) 20, 50, 90, 100, 150, 180, 200, 220, 240, 300.

Advantages

• Easy to calculate in a small data set
• Easy to understand as it’s the value at the middle

Disadvantages

• Difficult to calculate in a large data set
• Doesn’t show data distribution
1. b) Calculation of Ranges

-Difference between the largest and smallest values. Calculate the range of for the data above.

1. c) Mode

– Most frequently recurring value in a set of data.

10, 2, 5, 9, 10, 11, 20, 15, 18, 10.

The mode is 10.

Advantages

• Easy to find as no calculation is involved
• Easy to understand

Disadvantage

• Rarely used as a measure of central tendency

Statistical Presentation of Data

See also

BUSH FALLOWING IN WEST AFRICA

MINING

MINERALS IN EAST AFRICA

PROBLEMS ENCOUNTERED IN FIELD WORK

MINERALS AND ROCKS

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