Question

1. Confidence Intervals are about the individual measurements, NOT the mean.

True

False

2. Means have smaller standard deviations than individuals. True or False

3. Paired t-methods are the same as one-sample t-methods applied to the pairwise differences. True or False

4. Pooled t-tests are best when the variances are unequal. True or False

5. Standard error (σ) is an estimate of the population standard deviation(s). True or False

6. The Central Limit Theorem (CLT) tells us that the mean of a random sample has a sampling distribution whose shape can be approximated by a normal model. True or False

The correct formula to calculate the standard error for the sample mean when the population standard deviation is unknown is:

Group of answer choices

a. $LaTeX: SE\:\binom{_-}{y}\:=\:\frac{S}{\sqrt{n}}$ SE(−y)=Sn

b. $LaTeX: SE\:\binom{_-}{y}\:=\:\frac{\sigma}{\sqrt{n}}$ SE(−y)=σn

c. $LaTeX: SE\left(p\right)$ SE(p) = $LaTeX: \frac{s}{\sqrt{n}}$ sn  

d. $LaTeX: SE\left(p\right)$ SE(p)= $LaTeX: \frac{pq'}{\sqrt{n}}$ pq′n  

Answer 1

1. Confidence interval give the range for population parameter which is either mean or standard deviation

Hence it is not for individual but for mean

So answer here is False.