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:
55.5
Step-by-step explanation:
find the median - in this case it's 60
then group the upper and lower halves of the data:
(11, 19, 35, 42) 60 (72, 80, 85, 88)
now we find the medians of those sets:
35 + 19/2 = 54/2 =27
80 + 85/2 = 165/2 = 82.5
then subtract those two medians to find the interquartile:
82.5 - 27 = 55.5
45/117
Both numbers can be divide by 9
5/13
Answer:
3(a)+2(o)=14
3(a)+2(o)=34
3(4)+2(1)=14
3(8)+2(5)=34
Step-by-step explanation:
4 apple's and one orange to get 14 pieces of fruit. 8 apples and 5 oranges to get 34 pieces of fruit.
Answer:
Inverse relationship
Step-by-step explanation:
The equation we are looking at is;
y = 87.2/x
which implies xy = 87.2
If it was a direct relationship
y = constant * x
if it was inverse, it would have been
y * x = constant
since 87.2 is a constant, the question looks exactly like the second scenario.
This means that what we have is an inverse relationship
