The statement that 99% of all confidence intervals with a 99% confidence level should contain the population parameter of interest is false.
A confidence interval (CI) is essentially a range of estimates for an unknown parameter in frequentist statistics. The most frequent confidence level is 95%, but other levels, such 90% or 99%, are infrequently used for generating confidence intervals.
The confidence level is a measurement of the proportion of long-term associated CIs that include the parameter's true value. This is closely related to the moment-based estimate approach.
In a straightforward illustration, when the population mean is the quantity that needs to be estimated, the sample mean is a straightforward estimate. The population variance can also be calculated using the sample variance. Using the sample mean and the true mean's probability.
Hence we can generally infer that the given statement is false.
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-8-5b+7+5b
add +5b to -5b to get 0.
-8+7 = -1
Answer is -1.
ANSWER
Vertex form;
Vertex
EXPLANATION
Given:
We complete the square as follows:
The vertex form is:
The vertex is
Hi let me help you out there
$5+$2+$2.50+$0.25= 9.75
The costumer handed in less money. the costumer still has to pay $6.75 dollars more.
she thought the total was less.
hope it helps
