The standard deviation of a point estimator is the <u>standard error.</u>
"The point estimate is used to estimate the exact value of any parameter. For example, an internet poll says that 45% of Americans are concerned for the environment."
"Point estimates is a good measure but the problem with this parameter is that the sample of the statistics may vary so that there is a chance of sampling error."
"As the researcher is unable to presume that closeness of the sample statistics parameter with respect to the parameter so researcher refers to calculate the standard error instead of point estimate."
To learn more about standard error here
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An experiment value can either represent statistic or parameter
The value of the average (mean) weight at birth represents is parameter
<h3>How to determine if the value is statistic or parameter</h3>
The mean value is given as:
From the question, we understand that the value represents the average weight at birth of all babies born at hospitals in one state
The keyword "all" means that the value represents parameter
Hence, the value of the average (mean) weight at birth represents is parameter
Read more about statistic and parameter at:
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Answer:
A
Step-by-step explanation:
A -8/5 = -1.6 which is less than 0.625 because 0.625 is closer to zero
Answer:
-3.5x + 3y - 3
Step-by-step explanation:
1.2x + 3y - 3 - 4.7x
=> -3.5x + 3y - 3
Therefore, our simplified expression is -3.5x + 3y - 3
Hoped this helped.
