<h3>
Answers: Choice B and Choice C</h3>
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Explanation:
The symbol
or mu represents the population mean, which is a parameter.
The symbol
or sigma represents the population standard deviation, which is also a parameter. The same goes for the symbol p, without any hat on top, as it is the population proportion.
If something represents a population data item, then it's automatically a parameter. It might help to think both words "population" and "parameter" start with the letter P.
Based on those previous paragraphs, we can rule out choices A, D and E. Those three items are parameters. This leaves <u>choices B and C</u> as our final answers.
or xbar is a sample statistic, and it represents an estimate of the population mean. Similarly,
or p-hat is the sample proportion and it represents an estimate of the population proportion. These are considered unbiased estimators.
Another example of an unbiased estimator is the variable s which represents the sample standard deviation and it estimates the value of sigma. All of these estimators have one thing in common: they are based on a sample, which in turn tries to predict what the corresponding population value is. In other words, the statistic's job is to estimate the parameter.
Below is a reference table for all of the items mentioned.
Based on the payoffs and the probabilities given, we can calculate the mean to be <u>0.8 shots made. </u>
<h3>What is the mean?</h3>
The mean in this scenario will be a weighted average of the probabilities that a number of shots will be made.
The mean will be:
<em>= ∑ (Number of shots x Probability of number of shots)</em>
= (0 x 0.36) + (1 x 0.48) + (2 x 0.16)
= 0.8 shots
In conclusion, the mean is 0.8 shots.
Find out more about weighted average at brainly.com/question/18554478.
Answer:
A, D, E
Explanation:
You can't tell the other two options by the picture. Good luck on your assignment!! <3
Answer:
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Explanation: