Did it the longer way but i hope it helps you out.... Answer: 2/3
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:
The quotient is: 3x-7
The remainder is: 0
Step-by-step explanation:
We need to divide 9x^2 - 18x - 7 ÷ (3x + 1)
The Division is shown in the figure attached.
The quotient is: 3x-7
The remainder is: 0
The greatest common factor of 96 and 64 is 32
Answer: Your answer will be A
Hope this helps
Step-by-step explanation:
