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7.1-7.6 Review Statistics

Total questions: 15

Worksheet time: 21mins

Name
Class
Date
1.

The heights of some students are given.

158cm 172cm 164cm

164cm 167cm 159cm

Classify the data.

a)

Discrete

b)

Continuous

c)

Nefarious

d)

Laborious

e)

Pete

2.

Find the mode. (check all that apply!)

5, 15, 10, 20, 15, 10, 17, 17

a)

15

b)

10

c)

17

d)

5

e)

there is no mode

3.

The mean weight of 9 players in a sports team is 80 kg. A new player joins the team and the mean goes up to 85 kg. What is the weight of the new player?

(a)  

4.

If the variance of a data set is equal to 19, what is the standard deviation? (Round 3 sig figs)

(a)  

5.

The mean of a data set is 18 and the standard deviation is 5. If every value in the data set is multiplied by 3, what is the value of the new variance?

(a)  

6.

What percent of students have heights between 60 inches and 64 inches?

a)

75%

b)

50%

c)

100%

d)

25%

7.

Find the IQR.

(a)  

8.

The following is known about a data set:

Q1 = 62

Med = 75

Q3 = 90


Find the largest possible value that would not be considered an outlier for this data set.

(a)  

9.

How many students scored 80% or below on the test?

a)

12

b)

22

c)

60

d)

84

10.

What is the median length?

a)

40.5 cm

b)

30 cm

c)

24.5 cm

d)

34 cm

11.

The graph shows the lengths of pumpkins. What percentage of the pumpkins were above 32 cm in length?

a)

68.75%

b)

31.25%

c)

6.875%

d)

3.125%

e)

100%

12.

Which scatter plot diagram shows the strongest negative correlation?

a)
b)
c)
d)
13.

The correlation coefficient is found to be -0.26. Describe the correlation.

a)

Weak Negative

b)

Weak Positive

c)

Strong negative

d)

Strong positive

e)

Moderate Negative

14.

The equation below is the regression line for:

(x) Hours spent on Essay

(y) Grade on Essay 

y=5.89x+32.4y=5.89x+32.4  

Determine the grade of someone who spent 4 hours on the essay. Do not round.



(a)  

15.

The least squares regression equation was found to be

y = 4.19x - 163.4

If we used the equation to predict the sales on a 100 degree day, which statements are true?

a)

The sales would be approximately $256

b)

The prediction is unreliable due to extrapolation.

c)

The prediction is unreliable due to interpolation.

d)

The sales would be approximately $582