# Lecture 13 - Sections 5-2 Random Variables Probability...

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Sections: 5-2 Random Variables; Probability distribution
Introduction So far we have done descriptive statistics (e.g., summarizing data, measures of center, variation and relative standing) and notions of Probability . We will combine these ideas to study the Probability distribution .
Introduction So far we have done descriptive statistics (e.g., summarizing data, measures of center, variation and relative standing) and notions of Probability . We will combine these ideas to study the Probability distribution . Recall that in the relative frequency distribution , we associated a relative frequency to each class , from the sample data .
Introduction So far we have done descriptive statistics (e.g., summarizing data, measures of center, variation and relative standing) and notions of Probability . We will combine these ideas to study the Probability distribution . Recall that in the relative frequency distribution , we associated a relative frequency to each class , from the sample data . In a probability distribution ,
Introduction So far we have done descriptive statistics (e.g., summarizing data, measures of center, variation and relative standing) and notions of Probability . We will combine these ideas to study the Probability distribution . Recall that in the relative frequency distribution , we associated a relative frequency to each class , from the sample data . In a probability distribution , we will associate a probability to each outcome of a procedure.
Introduction So far we have done descriptive statistics (e.g., summarizing data, measures of center, variation and relative standing) and notions of Probability . We will combine these ideas to study the Probability distribution . Recall that in the relative frequency distribution , we associated a relative frequency to each class , from the sample data . In a probability distribution , we will associate a probability to each outcome of a procedure. A probability distribution could be given, in many situations, in the form of a table.
Introduction So far we have done descriptive statistics (e.g., summarizing data, measures of center, variation and relative standing) and notions of Probability . We will combine these ideas to study the Probability distribution . Recall that in the relative frequency distribution , we associated a relative frequency to each class , from the sample data . In a probability distribution , we will associate a probability to each outcome of a procedure. A probability distribution could be given, in many situations, in the form of a table. However, we first must understand the concept of Random variable .
Random variable Random variable : is a variable (typically represented by x ) that has a single numerical value, determined by chance, for each outcome of a procedure.
Random variable Random variable : is a variable (typically represented by x ) that has a single numerical value, determined by chance, for each outcome of a procedure.