1.A 95% confidence interval for a population mean is determined to be 34.5 to 38.7. If the confidence level is now changed to 90%, the confidence interval for

becomes wider

becomes narrower

does not change

becomes 5% narrower

2.As the sample sizeincreases, the standard error of sample mean,x

decreases

increases

stays the same

increases or decreases depending on the expected value

3.Which value of r, the coefficient of correlation, indicates theweakestcorrelation?- 0.38

- 0.28

+ 0.25

+ 0.35

+ 0.15

4.Coefficient of Determination tells us:

a. The rate of change iny variable with every unit change inx

variable

b. The proportion of the variation iny variable that can be explained by the variation inx variable, as predicted by the linear regression line.

c. The strength of a relationship between 2 variables

The Central Limit Theorem states that, if a random sample of size n is drawn from a population, then the sampling distribution of sample mean:

a.Is approximately normal only if the underlying population is normal.

b.Has the same variance as the population.

c.Is approximately normal if n < 30

d.Is approximately normal if n 30

For a confidence level of 99%, the level of significance is:

0.99

0.05

0.005

0.10

0.01

A confidence interval for a population mean:

Estimates a likelihood or probability

Estimates the population standard deviation

Estimates the population range

Estimates a likely interval for a population mean

Given r2=0.9311,SSR=60.55

Compute:

SSE=

SST=

A point estimate is defined as:

The true value of the population mean

A single value that is the best estimate of an unknown population parameter

A single value that is the best estimate of an unknown sample statistic

Estimate of the sample size