Using the interpretation of a confidence interval, it is found that approximately 950 of those confidence intervals will contain the value of the unknown parameter.
A x% confidence interval means that we are x% confident that the population mean is in the interval.
- Out of a large number of intervals, approximately x% will contain the value of the unknown parameter.
In this problem:
- 95% confidence interval.
- 1000 samples.
0.95 x 1000 = 950
Hence, approximately 950 of those confidence intervals will contain the value of the unknown parameter.
A similar problem is given at brainly.com/question/24303674
Answer: 30 kilograms
explanation: Each 1000 grams converts to 1 kilogram
Answer:
The center/ mean will almost be equal, and the variability of simulation B will be higher than the variability of simulation A.
Step-by-step explanation:
Solution
Normally, a distribution sample is mostly affected by sample size.
As a rule, sampling error decreases by half by increasing the sample size four times.
In this case, B sample is 2 times higher the A sample size.
Now, the Mean sampling error is affected and is not higher for A.
But it's sample is huge for this, Thus, they are almost equal
Variability of simulation decreases with increase in number of trials. A has less variability.
With increase number of trials, variability of simulation decreases, so A has less variability.
Answer:
30 cm
Step-by-step explanation:
First, simplify
to
/ Your problem should look like:
Second, multiply both sides by 36. / Your problem should look like:
Third, multiply both sides by -1. / Your problem should look like:
Fourth, switch your sides. / Your problem should look like:
Answer:
C) 21
