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Statistics deals with the data collection, organization, analysis, interpretation and presentation of various types of data which is a very complicated task in itself.
Statistics plays a huge role in making the economic plans budget, estimation of all the demand what arises in a corporate, sales figure for any firm, maintaining the quality of the products, minimizing the cost, forecasting agriculture production. The various
features of Statistics make its role important as a part of academic discipline. In other words we can say that the key goal of statistical research is to find the causality and to draw an ending on the result of changes in the value of the different variables. It doesn’t give you the accurate facts and figures regarding to your data but it will helps you to calculate the rough estimate of any collection.
There are two main
branches of statistics 1.
Descriptive Statistics – the organization and description of the characterized data. Like: Mean, Mode, and Median 2.
Inferential Statistics – with the help of descriptive statistics to make appropriate guesses about something is the basic fallacies of inferential statistics. Staticians assume that the past is prologue to the future. Statistics starts with a question, not with data or information every time whenever we use statistic we are always in search to find the solution for a question. All Statistics are based on assumptions of data, Data in terms what we see, hear, smell, touch, feel etc.
Statistics are mainly designed to transform data into accurate information, facts and make decisions using that information.
Statistics is also used to measure or assess level of exactness of any particular data.
In modern fast growing world department of
Statistics is involved in various fields like research, teaching, and statistical consulting for the entire University. A statistician is someone who is wellversed in the ways of thinking necessary for the successful application of statistical analysis. Such people have often gained experience through working in wide range of fields. There is also a discipline called
mathematical statistics that studies statistics mathematically.
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 Correlation Analysis
 Tscores
 Curve fitting
 Principal of least squares
 Bar, Pie & Histogram
 Variance
 Binomial Distribution
 Standard & Mean Deviation
 Descriptive Statistics
 Hypothesis Testing
 Poisson Distribution
 Geometric Distribution
 Correlation and Regression
 Time Series Analysis
 Scaling of Scores and Ratings
 Sampling
 Principal Components
 Graphical Data Representation
 Rules of Large Numbers
 Discrete probabilty distribution
 Continuous probabilty distribution
 Forecasting
 Conditional Probability
 Independence of events
 Discrete and Continuous Probability Distributions
 Factor Analysis
 Cluster Analysis
 Discrimination
 Classification
 Random sample generation
 Computation of expectation and standard error
 Testing of Hypothesis
 Point and Interval Estimation of Parameters
 Maximum Likelihood Estimation
 Power and Confidence Intervals
 Mean
 Average
 Analysis of variance
 Measures of Central Tendency
 Dispersion


 The Main Topics of Statistics
 Index Numbers
 Analysis of Variance
 Contingency tables
 Chisquare Test
 ZScores
 Design of Experiments
 Probability of an event
 Nonparametric Tests
 Quality Control
 Series
 Sample Surveys
 Tabular Presentation of frequency and nonfrequency data
 Diagrammatic Presentation of frequency and nonfrequency data
 Data Representation
 Theorems of Probability
 Random Variables
 Skewness
 Kurtosis
 Regression Analysis

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Links For Statistics Info
Probability and Statistics Resources
List of Statistics Resources
Penn State Department of Statistics
Statistics and Data Mining Research
American Statistical Association
Journal of Statistical
Computational Statistics and Data Analysis Journal
Elementary Statistics Books