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QUIZ 1 for last quarter (SAMPLING DISTRIBUTION)

Total questions: 17

Worksheet time: 43mins

Name
Class
Date
1.
To find the _________ you add up all the numbers and then divide by how many numbers you have.
a)
Mean
b)
Median
c)
Mode
d)
Range
2.
If the standard deviation of a data set is 4, what is the variance?
a)
2
b)
16
c)
4
3.

Ervin bowled 7 games last weekend. His scores are: 155, 165, 138, 172, 127, 193, 142. What is the sample standard deviation of Ervin's scores?

a)

511.33

b)

22.61

c)

438.48

d)

20.94

4.

What is the standard deviation for the data given:

5, 10, 7, 12, 0, 20, 15, 22, 8, 2

a)

6.89

b)

10.1

c)

7.26

d)

9

5.

What does this symbol represent?

a)

Standard Deviation

b)

Variance

c)

Mean Absolute Deviation

d)

Sigma

6.
What is the variance for the data given:
5, 10, 7, 12, 0, 20, 15, 22, 8, 2
a)
47.47
b)
102.01
c)
52.77
d)
81
7.

Given a variance of 64, what is the standard deviation?

a)

8

b)

4096

c)

0

d)

6.8

8.
What is the standard deviation for the data given:
{12, 13, 29, 18, 61, 35, 21}
a)
293.67
b)
15.87
c)
17.14
d)
41.98
9.
What does this symbol represent?
a)
Variance
b)
Standard Deviation
c)
Mean Absolute Deviation
d)
Sigma
10.

What is the difference between the formulas for population variance and sample variance?

a)

The sample variance is the square root of the population variance.

b)

The population variance divides the sum of the squares by n-1, while sample divides by N.

c)

The population variance divides the sum of the squares by N, while sample divides by n-1.

d)

There is no difference.

11.

After subtracting the mean from each value in the data set, the next step is to find the sum of those differences.

a)

True, then square that sum.

b)

False. Square the differences, then find the sum.

12.

Once you've calculated the mean, and listed the values in a table, what is the next step to calculating the variance?

a)

Square each value in the data set

b)

Subtract each value in the data set from the mean

c)

Subtract the mean from each value in the data set

d)

Add the mean to each value in the data set

13.

Before you can begin calculating the variance, you must first:

a)

find the mean

b)

find the median

c)

find the mode

d)

find the range

14.

Calculate the mean.

a)

μ = 10

b)

μ = 10.5

c)

x̄ = 10.5

d)

μ = 11

15.

How do you calculate the standard deviation?

a)

Divide the variance by 2.

b)

Its a long process and I can't explain it right now.

c)

Find the mean and multiply it by the variance.

d)

Take the square root of the variance.

16.

Calculate the sum of the square of the difference.

(That is, steps 2, 3, and 4 ... Σ(x - μ)2

a)

145.5

b)

150

c)

12

17.

How many random samples consisting of three observations (n = 4) from the given data set: 23 26 29 32 35 36 ?

a)

10

b)

20

c)

15

d)

5