Drink preference of people in three age groups are summarized below Coffee Tea Juice Total Under 21 years of age 5 15 18 38 Between 21 and 50 11 4 8 23 Over the age of 50 12 10 17 39 Total 28 29 43 100
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!
Drink preference of people in three age groups are summarized below
| Coffee | Tea | Juice | Total | |
| Under 21 years of age | 5 | 15 | 18 | 38 |
| Between 21 and 50 | 11 | 4 | 8 | 23 |
| Over the age of 50 | 12 | 10 | 17 | 39 |
| Total | 28 | 29 | 43 | 100 |
If one of the 100 is chosen at random, find the
Given that,
| Coffee | Tea | Juice | Total | |
| Under 21 years of age | 5 | 15 | 18 | 38 |
| Between 21 and 50 | 11 | 4 | 8 | 23 |
| Over the age of 50 | 12 | 10 | 17 | 39 |
| Total | 28 | 29 | 43 | 100 |
Step by step
Solved in 2 steps
