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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Answer:
He earned for washing 30 windows this month = $960.
Step-by-step explanation:
Greg earned $900 for washing 30 windows.
Earning per window = 900/30 = $30
He increased the wage by $2 per window.
Earning per window this month = $32
He earned for washing 30 windows this month = 30 *32 =$960.
Thank you.
Answer:
10 1/12
Step-by-step explanation:
In order to subtract fractions, you have to give them a common denominator.
18 1/2 can be rewritten as 18 6/12, as they are the same thing and 6/12 simplifies to 1/2. We make it 6/12 because we have to subtract it by 8 5/12, and the denominators are both 12.
So now we have 18 6/12 - 8 5/12, which gives us 10 1/12.
Answer:
6 sets
Step-by-step explanation:
(“of”=multiply)
Step 1.
1/5 of 45 sets = 45 x 1/5 = 9 sets.
Step2.
2/3 of 9 sets = 9 x 2/3 = 6 sets
Final Answer:
6 sets
Answer:
PEMDAS
Step-by-step explanation:
PEMDAS
