Statistics is the science of collecting, analyzing, interpreting, and presenting data. It is concerned with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments. Statistics can be used to infer relationships between variables and to test hypotheses about those relationships. It is also useful in making decisions about which statistical techniques to use and in interpreting the results of those techniques.
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|Random Variables as well as Processes
|Probability (Conditional Probability, Probability of an event, Continuous and Discrete Probability
|Distributions as well as their properties)
|Probability distributions – Binomial, Normal, Hypergeometric Poisson, etc.
|Dispersion Measures- Mean deviation, Standard deviation, Variance
|Central tendency measures- Mean, Median, and Mode
|Forecasting and Time Series Analysis
|Z-tests, Chi-square tests, T-tests
|ANOVA (Analysis of Variance)
|Testing of Hypothesis
|Power and Confidence Intervals
|Scaling of Ratings and Scores
|Causation and Correlation
|Linear Programming Problems
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Statistics and probability are two different but related fields of study. Statistics is the science of collecting, analyzing, and interpreting data. Probability is the branch of mathematics that deals with the likelihood of events occurring. The two fields are often used together to make predictions about the future.
Probability is the study of how likely it is that an event will occur. Probability can be expressed as a number between 0 and 1, where 0 means that an event is impossible and 1 means that an event is certain to occur. Probability can also be expressed as a percentage or as odds.
Probability and statistics are two of the most popular courses to take at university. Whether you’re enrolled in a bachelor’s or master’s program, these classes provide students with an excellent introduction into how data can be used for analysis before they move on towards more specialized areas like engineering.
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