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Unformatted text preview: . A quantitative random variable is said to be continuous when the number of its possible values is infinite and uncountable (real numbers). Notations . random variables (capitals): X , Y , Z , … . observed value of random variables (small letters): x , y , z , … . individuals: i , j , … or 1, …, n For a given random variable X , . random sample of size n : X 1 , …, X n . individual observations: x i , x j , … or x 1 , …, x n Key message The nature of a random variable (i.e., qualitative or discrete quantitative versus continuous quantitative) directs the drawing of frequency plots from sample data. Frequency classes need to be defined by the data analyst in the continuous quantitative case! Why? … Notes Frequencies or counts add up to n , the sample size. Relative frequencies add up to 1.0 or 100%! Why? …...
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This note was uploaded on 04/18/2008 for the course AEMA 310 taught by Professor Dutieulle during the Spring '08 term at McGill.
- Spring '08