Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practice statistical thinking. This is important even if you do not use statistical methods directly.
We know statistics is very tough subject. Students become bored with this subject when they try to solve an assignment problem of statistics and can’t solve that. Students go for different tutors, but not benefited as they are expecting. They only get frustrated thinking of wastage of money and time
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They mainly work in the specific areas related to Statistics like Tabular and Diagrammatic Presentation of frequency and non-frequency data, Measures of Central Tendency, Dispersion, Skewness and Kurtosis, Probability of an event, Conditional Probability, Independence of events, Discrete and Continuous Probability Distributions and their properties, Regression Analysis, Correlation Analysis (Including Rank correlations), Random sample generation, Computation of expectation and standard error, Point and Interval Estimation of Parameters, Maximum Likelihood Estimation, Testing of Hypothesis, Power and Confidence Intervals, Non-parametric Tests, Contingency tables and Chi-square Test, Analysis of Variance (ANOVA),
They also provides help related to Design of Experiments, Sample Surveys, Time Series Analysis and Forecasting, Scaling of Scores and Ratings, Z-Scores, T-scores, Principal Components, Factor Analysis, Cluster Analysis, Discrimination and Classification, Mean, Bar, Pie, Histogram, Median, Variance, Scaling of Scores and Ratings, Z-Scores, Central Limit Theorem, Poisson Distribution, Geometric Distribution, Descriptive Statistics, Binomial Distribution.
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