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Home Content 5.1 Introduction 5.2 Table Representation 5.3 Graphical Representation 5.4 Measures of Central Tendency 5.5 Measure of Variability 5.6 Mean, Variance and Standard Deviation for Grouped Data


5.1 Introduction


 
5.1.1
5.1.2
5.1.3
5.1.4

 
5.1.1 What is statistics?
The collection, processing, interpretation, and presentation of numerical data all belong to the domain of statistics.  The word "statistics" is used in several ways.  It can refer not only to the mere tabulation of numeric information, but also to the body of techniques used in processing or analysing data.
 
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5.1.2 Descriptive statistics
A data set in its original form is usually very large.  Consequently, such a data set is not very helpful in drawing conclusions or making decisions.  It is easier to draw conclusions from summary tables and diagrams than from the original version of a data set. Therefore, it is usually reduce data to a manageable size by constructing tables, drawing graphs, or calculating summary measures such as averages.  Methods that helps us to do this type of statistical analysis is called descriptive statistics.
 
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5.1.3 Population and sample
A population is a collection of all the elements we are studying and about which we are trying to draw conclusions.
A sample is a collection of some, but not all, of the elements of the population.
 
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5.1.4 Parameter and statistic
A parameter is a characteristic of a population.
A statistic is a characteristic of a sample.
 
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Home Content 5.1 Introduction 5.2 Table Representation 5.3 Graphical Representation 5.4 Measures of Central Tendency 5.5 Measure of Variability 5.6 Mean, Variance and Standard Deviation for Grouped Data

 
  
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