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Unformatted text preview: Unit 2: Week 2 (Aug 21 - Aug 29) Overview: This week is you will start to learn inferential statistics by studying probability distributions of discrete and continuous distributions. The concept of probability is central to a discussion on inferential statistics. This week, the focus will be on continuous probabilities and discrete probabilities. A probability distribution provides the likelihood of an outcome from all possible outcomes. A random variable is a numerical description of an outcome of an experiment. A discrete random variable is a variable which is countable and no fractional units. If the variable is an interval or a collection of intervals, it is considered a continuous random variable. Outcomes which can be described by measurement scales such as time, weight, distance, temperature, etc. are considered continuous. That is, a continuous described by measurement scales such as time, weight, distance, temperature, etc....
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This note was uploaded on 08/29/2011 for the course EC 315DLB taught by Professor Randallbarcus during the Fall '10 term at Park.
- Fall '10