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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Answer:
there is no answer they are equal. anything can be put into a and it will still be true
Step-by-step explanation:
4a+8=8+4a
there is no answer
Answer:
The residual value is -0.75
Step-by-step explanation:
we know that
The residual value is the observed value minus the predicted value.
RESIDUAL VALUE=[OBSERVED VALUE-PREDICTED VALUE]
where
Predicted value.--> the predicted value given the current regression equation
Observed value. --> The observed value for the dependent variable.
in this problem
we have the point (1,4)
so
The observed value is 4
<em>Find the predicted value for x=1 </em>
predicted value is 4.75
so
RESIDUAL VALUE=(4-4.75)=-0.75
Answer:
#5A=6
5B=4
Step-by-step explanation:
C) sss similarity
because each side as a partner with half of its value
8in-4in
6in-3in
4in-2in
