Step-by-step explanation:
Consider the provided information.
Part (A) We need to find the confidence coefficient.
The given value or percentage of probability is known as the confidence coefficient that the interval contains the parameter.
Hence, the confidence coefficient is 0.90
Part (B) Practical interpretation of both of the 99% confidence intervals.
It means that there is 99% confident that the mean of population HRV for officers diagnosed hypertension which lies between 6.9 and 122.9
There is 99% confident that the mean of population HRV for officers those are not hypertensive which lies between 144.2 and 184.9.
Part (C)
If you are saying 99% confident that means the 99% of the similarly generated confidence intervals will contain the true value of the population mean in repeated sampling.
Part (D)
If We want to reduce the width of each confidence interval, you need to use smaller confidence coefficient.
Yes because 4x3^x =12^x since the coefficient is added to the answer because it is in the 3.
Answer:
t≥2
Step-by-step explanation:
because you need at least 2 touchdowns, t must be equal to 2 or more (greater) than 2.
I think the answer is 2.8
Answer:
The minimum sample size required to ensure that the estimate has an error of at most 0.14 at the 95% level of confidence is n=567.
Step-by-step explanation:
We have to calculate the minimum sample size n needed to have a margin of error below 0.14.
The critical value of z for a 95% confidence interval is z=1.96.
To do that, we use the margin of error formula in function of n:
The minimum sample size to have this margin of error is n = 567.
