STOR 155 Lecture Notes - Lecture 1: Growth Chart, Randomness, Probability Density Function
8 Apr 2015
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Stor 155: introduction to statistics lecture 1: introductory information and the. Deterministic phenomenon: outcome in a particular situation can be predicted precisely, examples, flat hourly wage of per week, work 30 hours next week. Income will be 30 x 8 = : lay tile on 8x10 foot room. Random phenomenon foot x 80 square feet = 720 tiles: outcome in particular situation cannot be predicted precisely, examples, car has epa rating of 20 miles per gallon. 260 miles / 20 mpg = 13 gallons. Uniform distribution: x = random variable, parameters a and b, a = lower end, b = upper end, density function curve shows you probability under it even spread of x values between a and b. Parameter rules: use the formula for calculations with the density curve f(x) = 1 / (b-a) Statistical inference: a and b cannot be the same, b must be greater than a.
