1. What is the mean of a discrete random variable? 2 What does the mean of a probability distribution tell us? 3. How do you interpret the mean of a probability distribution?
1.The mean of a discrete random variable X is a weighted average of the possible values that the random variable can take. Unlike the sample mean of a group of observations, which gives each observation equal weight, the mean of a random variable weights each outcome xi according to its probability
2.A probability distribution tells us the probability that a random variable takes on certain values.
3.Probability is simply how likely something is to happen. Whenever we're unsure about the outcome of an event, we can talk about the probabilities of certain outcomes—how likely they are.
Answers & Comments
Answer:
1.The mean of a discrete random variable X is a weighted average of the possible values that the random variable can take. Unlike the sample mean of a group of observations, which gives each observation equal weight, the mean of a random variable weights each outcome xi according to its probability
2.A probability distribution tells us the probability that a random variable takes on certain values.
3.Probability is simply how likely something is to happen. Whenever we're unsure about the outcome of an event, we can talk about the probabilities of certain outcomes—how likely they are.
Step-by-step explanation:
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