Question

Please,select all that apply

Answer 1

Answer:

Question 1:

1. It is 95% certain that the true mean lies in the interval 16-36 years.

• Based on this sample, we are 95% confident that we captured the true mean in our sample. Not sure why the interval is wrong, though--it should be between 21-31 years (26 - 5, 26 + 5).

Question 2:

3. We are 95% confident that the true mean lies somewhere within 168-208 ng/ml.

• Again, the boundaries are wrong. THey should be between 178 and 198 ng/mL, but the rest of the sentence is correct.

Question 3:

2. Measures how far the sample mean is likely to be from the population mean

1. Can be calculated using the standard deviation of the population and the size of the sample

• The standard error is an approximation of the standard deviation that we use when we're not sure of the stdev or all the data values. Its purpose is to figure out how far the means were from each other, and approximate how far off our results were.