The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976-1977 through 2004-2005. • μ = 1000 FTES • median = 1,014 FTES • σ = 474 FTES • first quartile = 528.5 FTES • third quartile = 1,447.5 FTES • n = 29 years How many standard deviations away from the mean is the median? (Round your answer to two decimal places.)
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976-1977 through 2004-2005.
| • | μ = 1000 FTES |
| • | |
| • | σ = 474 FTES |
| • | first |
| • | third quartile = 1,447.5 FTES |
| • | n = 29 years |
How many standard deviations away from the mean is the median? (Round your answer to two decimal places.)
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