The following table represents the number of free throws a typical NBA player makes in three attempts. Free Throws Made 0 1 2 3 Probability 0 0.3 0.4 What is the probability needed in order to make this a valid probability distribution? 0.4 0.2 1 0 None of the above What is the mean of this distribution? 0.25 0.233 1.5 2 None of the above What unit of measurement does the standard deviation have? No unit of measurement Free throws Square root of free throws Free throws squared None of the above, as it depends on the situation
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 following table represents the number of free throws a typical NBA player makes in three attempts.
| Free Throws Made | 0 | 1 | 2 | 3 |
| Probability | 0 | 0.3 | 0.4 |
What is the probability needed in order to make this a valid probability distribution?
- 0.4
- 0.2
- 1
- 0
- None of the above
What is the mean of this distribution?
- 0.25
- 0.233
- 1.5
- 2
- None of the above
What unit of measurement does the standard deviation have?
- No unit of measurement
- Free throws
- Square root of free throws
- Free throws squared
- None of the above, as it depends on the situation
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