<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.
Answer:
119.24
Explanation:
Step 1: We make the assumption that 369 is 100% since it is our output value.
Step 2: We next represent the value we seek with x.
Step 3: From step 1, it follows that 100%=36.
Step 4: In the same vein, x% = 440.
Step 5: This gives us a pair of simple equations:100%=369(1) 440(2) = x%
Step 6: By simply dividing equation 1 by equation 2 and taking note of the fact that both the LHS(left hand side) of both equations have the same unit (%); we have 100%/x% = 369/440
Step 7: Taking the inverse (or reciprocal) of both sides yields x%/100% = 440/369
Therefore, 440 is 119.24% of 369.
Answer:
c
Explanation:
they didnt give options of other colors
Answer:
I got C
Explanation:
I hope it helps, if it doesn't i'm sorry :)
