Try it on paper first. A hint, the key idea and the worked solution are here when you need them.
A random variable takes the values , , and . We know that and , and that . The other two probabilities are unknown. Find and . Then find the standard deviation of .
The expected value is the long-run mean, each value weighted by its probability:
The expected value of a total is the total of the expected values.
The variance is the weighted mean of the squared distances from , and the standard deviation is its square root:
Have you tried it?
Work it out on paper first. It is fine to get stuck or make a mistake: that is how we learn. When you are ready, go through the solution one step at a time, and check each step against your own.
Step 1. . , so .
Step 2. . .
Step 3. The mean of the squares. .
Step 4. The spread. , so .
Answer: , and .
Check. All four probabilities are between and , so the table is a real distribution.
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