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### Introduction to Statistics in 40 Characters

• 1. Introduction Statistics 1 • Statistics is generally used to mean quantitative aspects of data management but as a subject of study it refers to body of principles and procedures developed for collection, classification, summarization and meaningful interpretation and for the use of such data. •The discipline is useful in converting random data to understandable information and aids in strategic business decision making. Statistics has its origin in Latin word Status, Italian word Statista and German term Statistik all of which mean “Political State”. In ancient times the beginning of Statistics was made to meet the requirements of State primarily and hence the name. The term Statistics is generally used in 2 senses- 1.Plural Sense 2. Singular Sense Introduction Origin Meaning
• 2. Meaning-Plural Statistics 2 Plural sense Features in Plural Sense Definitions for Plural sense Under this, the Statistics refers to numerical statement of facts related to any field of enquiry such as data related to income, expenditure, population etc in the sense of numerical data or Statistical data. Definitions- “Statistics are numerical statements of facts in any department of enquiry placed in relation to each other”-Bowley “By statistics we mean quantitative data affected to a marked extent by multiplicity of cause”- Yule and Kendall 1. Aggregation of facts- A single number does not constitute Statistics as no conclusion can be drawn from it. Only the aggregate of facts capable of offering meaningful information constitute Statistics. 2. Numerically expressed- Statistics are expressed in numbers. Qualitative data like rich, poor, beautiful, big etc cannot be termed Statistics. Contd….
• 3. Meaning-Plural Statistics 3 Features in Plural sense 3. Affected by Multiple causes- Statistics is not impacted by only 1 factor as multitude of factors influence it. For e.g rise in prices can be attributed to reduction in supply, increase in demand, rise in input costs etc. 4. Reasonable Accuracy- A reasonable degree of accuracy must be maintaining while collecting the statistical data. 5. Placed in relation to others- Such data is called Statistics which is mutually related and comparable. Height of 40 people cannot be compared with age of 40 people as data is not related. 6. Pre-determined purpose- Data collected without any purpose or randomly will only be a numerical value and not Statistics. 7. Enumerated or Estimated- Data can either be collected by estimation (if the field of investigation is very vast) or enumeration (for smaller set of data). 8. Collected in systematic manner- Haphazardly collected data will not provide conclusive evidence so systematic collection should be planned beforehand.
• 4. Meaning-Singular Statistics 4 Features in Singular sense Singular sense Definitions Under this, Statistics refers to science in which we deal with techniques and methods for collecting, classifying, presenting, analyzing and interpreting the data in the meaning of Statistical methods. Definitions- “Statistics may be defined as the collection, presentation, analysis and interpretation of numerical data.”-Croxton and Cowden “Statistics is the science which deals with the collection, classification and tabulation of numerical facts as a basis for the explanation, description and comparison of phenomena- Lovitt Given the definitions, the following stages of Statistics emerge- 1. Collection of data- Decide how, where, when, what kind of data to be collected. 2. Organization of data- Organize the collected data to make it comparable and simple. 3. Presentation of data- Make the data intelligible, brief and attractive. 4. Analysis of data- To draw conclusions, analysis of data is required by different methods e.g. central tendency, correlation. 5. Interpretation of data- Comparison and conclusions in simple and easy language.
• 5. Nature of Statistics 5 Nature The study of nature is to find out whether Statistics is Science or Art As a science- It studies the Statistical data As a Art- It makes use of data to solve problems of real life. Subject Matter The subject matter of statistics is divided into 2 parts- 1. Descriptive statistics- It describes the data and consists of methods and techniques to explain characteristics of data. The methods can either be graphical or computational. 2. Inferential Statistics- It deals with methods which describe the characteristics of population or making decisions concerning population on the basis of sample results.
• 6. Limitations of Statistics 6 1. Study of Numerical facts-Statistics can only study such facts which can be expressed in numerical terms. 2. Study of Aggregates only- Statistics studies only the aggregates and not particular unit. No conclusion is possible from single piece of data. 3. Not the only method- Statistics is not the only method to study and many a time does not suggest the best solution of each problem. 4. Homogeneity of data- Quantitative data has to be consistent and homogeneous otherwise it will not be possible to draw conclusions.
• 7. Limitations of Statistics 7 5. Results are true only on an average- Statistical results only express tendencies and are true on an average and not absolutely. 6. Without reference results may prove wrong- Circumstances and conditions under which conclusions are made have to be studied otherwise the results may give wrong impression. 7. Can be used by experts only- Only experts can make good use of statistics and unqualified would find it difficult to apply it. 8. Misuse of Statistics is possible- The misuse of Statistics to seek particular results is a possibility, more so when it is not easily understood.
• 8. Scope of Statistics 8 1) Statistics and planning :- Statistics in indispensable into planning in the modern age which is term as " the age of planning'. Almost all over the world the govt are re-storing to planning for economic development. 2) Statistics and economics:- Statistical data and technique of statistical analysis have to immensely useful involving economical problem. Such as wages price, time series analysis, termed analysis. 3) Statistics and business :- Statistics is an irresponsible tool of production control. Business executive are relying more and more on statistical technique for studying the much and desire of valued customers. .
• 9. Scope of Statistics 9 4) Statistics and industry :- In industry is widely used inequality control. In production engineering to find out whether the product is confirming to the specification or not. Statistical tools, such as inspection plan, control chart etc. 5) Statistics and Mathematics :- Statistics are intimately related recent advancement in statistical technique are the outcome of wide application of Mathematics. 6) Statistics and Modern science :- In medical science the statistical tools for collection and incidence of diseases and result of application various drugs and Medicines are of great importance.
• 10. Functions Statistics 10 1. Expression of facts in numbers-One of the main function of Statistics is to express numbers in easily understandable language and interpret the results with certainty. 2. Simple presentation- Statistics enables presentation of complex data in a simple format in terms of aggregate, average, percentage, graphs, diagrams etc. 3. Enlarges individual knowledge and experience- Statistics expands the horizons of individual knowledge and understanding. 4. It compares facts- It facilitates the comparison of data and identifying the interrelations between large sets of data for drawing suitable inferences. 5. Facilitates policy formulation- By doing analysis and interpretation of data, precise nature of problem can be ascertained thus assisting policy formulation. 6. It helps other science in testing their laws- Statistics helps other laws for establishing their assumptions. E.g. Many laws of economics namely law of demand, law of supply, Keynes theory of employment can be verified by Statistics. 7. It helps in forecasting- Extrapolating present data aids in forecasting likely changes that can be expected in future.
• 11. Uses & Importance Statistics 11 1. Importance for administrators- Administrators use data for varied purposes and Statistics provide useful tools for decision making support. 2. Importance for business, industry and agriculture- Estimating demand and supply, studying seasonal changes, understanding trade cycles, consumer profiling, product life cycle analysis are examples of some of the functions that Statistics can perform for business, industry and agriculture. 3. Importance in Economics- Statistics is basis of Economics as it helps establishing the assumptions. Almost all the economic aggregates are measured with the help of Statistics. 4. Importance for Politicians and in Social field- For formulating social, economic, educational, industrial and other policies, politicians draw great support from Statistics discipline. Existing social problems can only be brought to fore front with the help of data analysis. The effectiveness of existing policies for social change can be measured by statistical tools. 5. Importance for banking and insurance industry- Bankers use statistics for estimating credit growth, risk analysis, portfolio management and insurers for establishing appropriate premiums looking at life expectancies.
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