As with all probability distributions, the Normal Distribution describes how the values of your data are distributed.

the use of statistics is ubiquitous in science, engineering, medicine and epidemiology, marketing, and many other application areas. Probability theory provides a mathematical framework for studying ...

Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical simulation, drawing inferences from data, and basic statistical modeling.

A s is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

Point estimation, confidence intervals, hypothesis testing. Two-sample t-test. Correlation and linear regression. The bivariate normal distribution. Analysis of variance for one-and two-way designs. F ...

Introduction to probability theory and statistical methods necessary for analyzing the behavior of processes and experiments. Statistical tests for detecting significant changes in process parameters.

This course provides theoretical and axiomatic foundations of probability and mathematical statistics. In particular, the following topics will be covered: 1. Measure spaces; Caratheodory extension ...

This module develops the theory of probability from the module `Introduction to Probability' and then introduces the fundamental ideas of classical statistics. It covers descriptive statistics, the ...