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disa [49]
1 year ago
9

99% of all confidence intervals with a 99% confidence level should contain the population parameter of interest. true or false

Mathematics
1 answer:
tester [92]1 year ago
6 0

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.

To learn more about confidence intervals visit:

brainly.com/question/24131141

#SPJ4

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Solve the following inequality: 3-5x-x^2>=0
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Answer:

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Step-by-step explanation:

Step 1: Find the critical points

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For this equation: a=-1, b=-5, c=3

−1x^2+−5x+3=0

x=−b±√b2−4ac/2a

x=−(−5)±√(−5)2−4(−1)(3)/2(-1)

x=5±√37 /−2

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Step 2: Check intervals in between critical points

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Read 2 more answers
The price for a TV was decreased by 20% and then by 10%. By what percent was the new price lower than the original?
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Let's say the tv was 100$ . Reduced by 20% means the tv is now 100 - 20 = 80% of the original price.

0.8(100) = 80$
Reduced again; by 10% means that it is now 100-10 = 90% of the 80$
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72$ / 100$ = 0.72 which is 72% of the original price. Which is a mark down of:
100 - 72 = 28%

The new price is 28% lower than the original price.

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3 years ago
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