Statistics Online Tutoring

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 well-versed 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 T-scores 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 Chi-square Test Z-Scores Design of Experiments Probability of an event Non-parametric Tests Quality Control Series Sample Surveys Tabular Presentation of frequency and non-frequency data Diagrammatic Presentation of frequency and non-frequency data Data Representation Theorems of Probability Random Variables Skewness Kurtosis Regression Analysis

Statistics Online Tutoring