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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For this case we have that by definition, the equation of a line in the slope-intersection form is given by:
Where:
m: It is the slope of the line
b: It is the cut-off point with the y axis
We have the following points:
Substituting we have:
Thus, the equation is of the form:
We substitute one of the points and find "b":
Finally, the equation is of the form:
Answer:
Answer:
it 6 because I said so you can't be alone 3PM if you get your school work done in your sleep all the 378feet and I have to eat a
Answer: Its B
Step-by-step explanation: trust me i had this test
F nbc hbbb b bbb. hey n b
