Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

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

Save guides, add subjects and pick up where you left off with your BBC account. Probabilities can be written as fractions, decimals or percentages on a scale from 0 to 1. Knowing basic facts about ...

Save guides, add subjects and pick up where you left off with your BBC account. Two events are independent if the probability of the first event happening has no impact on the probability of the ...

Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

The Centre for Probability, Statistics and Data Science covers three broadly overlapping main areas of research: probability, statistics and data science. Probability theory is a core topic within ...