• July 21st, 2016
  • Posted by athanne

Statistics in Business

300x250 2 Statistics in Business

Statistics in Business is a study of the methods used in analyzing a numerical data collected.

There are  two categories of Statistics in Business. These are statistics in singular and statistics in plural.

Statistics in Singular as a category of Statistics in Business

Statistics in singular is one category of Statistics in Business. It is the scientific study of the principles and methods applied in collection, organization, presentation, analysis and interpretation of numerical data.   Statistics as a field of study is concerned with the following activities:

  • Collection, organization, presentation, and analysis of data
  • Making inferences about a body of data when only a part of the data is observed, and
  • Interpretation and communication of the results of the first two activities

 Statistics in BusinessStatistics in Plural as a category of Statistics in Business

Statistics in plural is another category of Statistics in Business. Systematically collected and aggregated numerical data.  Statistical data have the following main characteristics;

  • aggregates of facts e.g. total sales in a month
  • multiplicity of causes e.g. total demand is a function of several factors
  • numerically expressed
  • enumerated or estimated according to a reasonable standards of accuracy e.g. 90% accuracy
  • collected in a systematic manner
  • collected for a predetermined purpose e.g. to determine economic growth rate
  • comparable i.e. placed in relation to each other e.g. chronological (time wise) and geographical comparisons

 

Types of Data in Statistics in Business

a) Source of data

There are two sources of data in Statistics in Business.Primary data is data collected directly or indirectly for the first time. It comprises of   measurements observed and recorded as part of an original study and secondary data is data already collected and recorded data by other individuals or agencies for a purpose

 

b) Measurement of data

There are also two sources of measurement of data in Statistics in Business. They are quantitative data  that can be measured directly and expressed in numerical terms e.g. age, height and qualitative data that cannot be measured directly and expressed in numerical terms e.g. Intelligence, gender, attitudes etc

 

Variable in Statistics in Business

 

A variable in Statistics in Business is a characteristic that assumes different values for different entities e.g. heights of people. types of variables are:

  • Quantitative variable which can be measured directly and expressed in numerical terms e.g. height
  • Qualitative variable that cannot be measured directly and expressed in numerical terms e.g. Intelligence, gender,
  • Discrete variable that assumes only whole numbers e.g. number of people.
  • Continuous variable that  assumes both whole numbers and fractions e.g. height

 

 

Limitations of Statistics in Business

The limitations of Statistics in Business are;

 

  • Statistics does not deal with isolated measurement
  • Statistics deals only with quantitative characteristics
  • Statistical results are true only on average
  • Statistics is only a means and not an end.
  • Statistics can be misused

 

Statistical Inquiries in Statistics in Business

 

Statistical Inquiries in Statistics in Business are statistical investigation and research.

Types of statistical inquiries in Statistics in Business are:

  • Primary or secondary
  • Census or a sample
  • Open or confidential – in terms of results
  • Direct or indirect – in terms of measuring
  • Regular – regular period or once a while
  • Initial or repetitive
  • Official, semi-official or non-official- by government, bodies supported by government or private bodies`

 

Organization Data in Statistics in Business

Organization Data in Statistics in Business is  the classification and tabulation of data

Classification of Data in Statistics in Business

Classification of Data in Statistics in Business is the arrangement of related data/facts into different groups/classes with respect to some characteristics (basis of classification)

Objectives of Classification in Statistics in Business

The objectives of classification in Statistics in Business include:

  • eliminate unnecessary details
  • highlight points of similarity and dissimilarity comparison and inferences
  • highlight important aspects of the data
  • utilize data for further statistical analysis

Types of Classification in Statistics in Business

The types of classification in Statistics in Business are;

  • Geographical or spatial classification – with respect to place/area e.g. district
  • Chronological or temporal classification with respect to time
  • Qualitative- on the basis of some attribute or quality such as sex, literacy etc
  • Quantitative – on the basis of measurable characteristics such as age

Frequency Distribution in Statistics in Business

The frequency distribution in Statistics in Business includes;

  • Grouping of statistical data according to size or magnitude.  Its features include:
  • Number of classes – minimum of 6-8 and max of 20 -25
  • Class intervals -span of a class-upper limit – lower limit
  • Class limits and boundaries
  • Class mid-point- (UCL +LCL)/2
  • Class frequency – No. of values/items in each class
  • Cumulative frequency

 

There are two methods of classifying the data according to class-intervals. They are exclusive method which is  upper limit of one class is the lower limit of the next and is not included in that former class and inclusive method which is upper limit of one class is included in that class itself and not repeated in the next class

 

Class Interval in Statistics in Business

Class interval = (maximum value – minimum value) / desired number of people.

E.g. maximum number = Kshs 100, Minimum number = Kshs 10, desired number of classes is 15.

The class interval will be (100 – 10)/ 15 = 6

Class Limits in Statistics in Business

These are the values within which variables of a class lie. They include:

  • Upper class limit
  • Lower class limit
  • Upper class boundary.
  • Lower class boundary.

Frequency

This is the number of values occurring in each class.

Example:

Make a frequency distribution table fro the data below with class intervals of five:

2, 4, 3, 1, 5, 7, 9, 21, 13, 15, 18, 17, 14, 10, 12, 16, 7, 6, 19, 22, 11, 23, 22, 24, 2, 5, 3, 4, 3, 2.

 

Class Frequency
1 – 5 11
6 – 10 5
11 – 15 5
16 – 20 4
21 – 25 5
f   30

 

 

Making Frequency Distribution in Statistics in Business

Steps:

  • Determine the range of the data.
    • Range = highest value – lowest value.
  • Determine the appropriate number of classes if not given. Too few classes may lead to omission of vital information while too many classes may present too much information that might be unnecessary.
  • Determine the size of the classes (class width / class interval).
    • In general;
    • Class width = range / number of classes
    • = (highest value – lowest value) / number of classes

 

Frequency Distribution for Single Valued Classes in Statistics in Business

This is frequency distribution for data that are arranged into single valued classes. These are as many classes as there are different data values.

Graphs of Frequency distribution in Statistics in Business

 

  • Ogive curve.
  • Histogram
  • Frequency polygon
  • Frequency curve

Ogive curve in Statistics in Business

Steps:

  • Compute the cumulative frequency of the distribution.
  • Prepare a graph with the cumulative frequency on the vertical axis.
  • Plot a starting point at zero on the vertical scale of the lower class limit of the first class.
  • Plot the cumulative frequencies on the graph against the upper class limits of their respective classes.
  • Then join all this points by the help of a curve.
  • An ogive curve is used to find out the values of median, quartiles, deciles and percentiles graphically.

Example:

Class               Frequency                  Cumulative frequency

0-10                 5                                  5

10-20               10                                15

20-30               15                                30

30-40               8                                  38

40-50               7                                  45

 

Cumulative frequencies (cf) of each group are marked against upper class limit of the respective group.

Business Training in Kenya offers more information on this.

Conclusion on Statistics in Business

In conclusion Statistics in Business is a scientific study of the principles and methods applied in collection, organization, presentation, analysis and interpretation of numerical data

 

 

 

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