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BRM Review Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

Fewer groups provide a "coarser" histogram.

a)

True

b)

False

c)

True on days with a T in them.

2.

According to statistical notations, what do lower case letters stand for?

a)

population measures

b)

sample measures

c)

act as a summation operator

d)

represent the number of items in a population

3.

Using Chebyshev's theorem for standard deviation, calculate the percentage of data that lie within three standard deviations of the mean.

a)

98%

b)

89%

c)

65%

d)

43%

4.

Calculate the coefficient of variation from the following data:

z-score = 1.32; standard deviation =2; mean = 6; total variation = 0.6

a)

.33

b)

27.16

c)

.5

d)

3

5.

If a histogram tails off to the right

a)

The data is positively skewed

b)

The data is negatively skewed

c)

The distribution has fat tails

d)

Dr. Barnhart has made another mistake

6.

is

a)

A medical mystery

b)

The symmetry of a data set

c)

The peakedness or flatness of a histogram

d)

The degree of association in the data

7.

When a linear relationship exists for one variable that increases while the other decreases, there is

a)

Correlaton above 1

b)

zero correlation

c)

positive correlation

d)

negative correlation

8.

When comparing the variance for t-distribution to that of the standard normal distribution,

a)

t-distribution has a larger variance

b)

standard normal distribution has a larger variance

9.

When is a t-distribution used instead of a normal distribution?

a)

When Dr. Barnhart says to

b)

When the population standard deviation is known

c)

When the population standard deviation is unknown

d)

When the population mean is known

10.

How do you calculate the standard error?

a)

Divide the variance by the square root of the mean

b)

Divide the standard deviation by the square root of the mean

c)

Divide the variance by the square root of the number of items in the sample

d)

Divide the standard deviation by the square root of the number of items in the sample