1. According to the Central Limit Theorem, sample statistics, like sample means, tend to approximate a population parameter.

True

False

2.Knowing that standard error is calculated using the formula SE=SD/n, decreasing the sample size should

a.

Decrease standard error

b.

Increase standard error

c.

Change (positive or negative) the standard error

d.

Not affect the standard error

3.A sample standard deviation (SD) of 15 was observed in a sample of size n=100. Which of the following is the standard error of the mean (SEM) based on this sample?

a.

10.0

b.

1.5

c.

0.5

d.

7.5

4.A population of cardiac patients has a mean systolic blood pressure of 140 mmHg, with a standard deviation of 15 mmHg. If you sampled 25 people, the standard error of the mean(SEM) would be 4 mmHg.

True

False

5.It is well known that the distribution of household incomes in Manhattan is not "bell-shaped". It tends to skew to the right due to the presence of extremely wealthy households. Given a sample of n = 1,000 households, it is likely that the sampling distribution of a sample mean income will be______.

a.

Flat

b.

Right Skewed

c.

Normally distributed

d.

Left skewed

6.The standard error of the mean is best defined as

a.

Error that occurs when some mean falls in a critical region

b.

Standard deviation of a sample mean

c.

The sum of squares of a sample divided by n-1

d.

Z score of a mean