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Algebra Nation - Section 10

Total questions: 53

Worksheet time: 4hrs 25mins

Name
Class
Date
1.

Two categorical variables can be represented with a

a)

two-way frequency table.

b)

contingency table

c)

marginal frequency

2.

The total frequency for any row or column is called a

a)

two-way frequency table.

b)

contingency table

c)

marginal frequency

3.
How many sophomores like burritos and pizza?
a)
6
b)
5
c)
11
d)
50
4.
How many total people were surveyed about what ice cream flavor they would pick?
a)
107
b)
92
c)
70
d)
269
5.

How many males were surveyed?

a)

77

b)

15

c)

150

d)

52

6.
How many females prefer a SUV?
a)
21
b)
135
c)
156
d)
180
7.

Mrs. Inman surveyed 100 RHS faculty members about their music preference. Complete the table to determine how many women were surveyed.

a)

52

b)

48

c)

58

d)

100

8.
The cell labeled with 84 is an example of a:
a)
Marginal Frequency
b)
Joint Frequency
c)
Relative Frequency
d)
Conditional Relative Frequency
9.

Which of the values below is a joint frequency?

a)

400

b)

200

c)

182

d)

4

10.
Describe the data that is represented by the 39.
a)
Male
b)
Sports Car
c)
Males who prefer Sports Cars
d)
Male Sports Cars
11.
39 ÷ 240 would calculate the _______________ of males who prefer Sports Cars.
a)
Marginal Frequency
b)
Joint Frequency
c)
Joint Relative Frequency
d)
Marginal Relative Frequency
12.
What is the relative frequency of people that purchased no food?
a)
10%
b)
60%
c)
15%
d)
30%
13.
How do you calculate the marginal relative frequency for females?
a)
The answer is 180
b)
180 ÷ 240
c)
135 ÷ 180
d)
45 ÷ 135
14.
The table shows the different types of engineers and the subject they liked most.  What percentage of people surveyed were chemical engineers who preferred math?
a)
16.5%
b)
33.1%
c)
17.6%
d)
15.5%
15.

What is the relative frequency for selecting a teen given that the person likes chocolate?

a)

12/107

b)

45/107

c)

73/107

d)

12/269

16.

What is the relative frequency of choosing a person that likes vanilla that is a child?

a)

77/269

b)

22/269

c)

22/92

d)

77/107

17.

What is the relative frequency for selecting a person that likes chocolate that is a teen?

a)

.112

b)

.267

c)

.164

d)

.056

18.
What percentage of the days that it rained, did they forecast no rain?
a)
About 20%
b)
About 18%
c)
About 14%
d)
About 12%
19.
Out of the girls surveyed, what is the probability they have blonde hair (in simplest form)?
a)
3/10
b)
3/20
c)
6/19
d)
3/5
20.

What is the probability that a student who doesn't play an instrument plays on a sports team?

a)

.7273

b)

.8

c)

.55

d)

.2222

21.

What is the conditional frequency of students with hazel eyes that have red hair?

a)

1/9

b)

9/60

c)

1/60

22.
What is the correlation between length of running start and distance of jump?
a)
positive:  the further you run the further you jump
b)
negative: the less you run the less distance of your jump
c)
positive: the further your running start the less your distance
23.
What type of correlation does this graph have?
a)
Negative 
b)
no association
c)
positive 
24.
Which scatter plot shows a negative relationship?
a)
Graph A
b)
Graph B
c)
Graph C
d)
Graph D
25.
Which scatter plot show a positive relationship?
a)
Graph A
b)
Graph B
c)
Graph C
d)
Graph D
26.
In the scatter plot, does the image shows a "Line of Best Fit"?
a)
Yes
b)
No
27.
The equation of the trend line
is  y= 1/2x +1. Use the equation to determine the amount of time it would take to bike 20 laps. 
*Look at the x and y axis first before starting the problem
   
a)
38 minutes
b)
11 minutes
c)
41 minutes
d)
10 minutes
28.
Which of the following lines represents the line of best fit for the scatter plot?
a)
A
b)
B
c)
C
d)
D
29.
Based on the graph, if Joe earned $400, how many hours did he work?
a)
20 hours
b)
35 hours
c)
45 hours
d)
15 hours
30.
Rank these scatter plots according to the intensity of the correlation represented, from weakest to strongest.
a)
1, 2, 3, 4
b)
2, 4, 3, 1
c)
4, 3, 2, 1
d)
1, 3, 4, 2
31.
Shown is a residual plot. Would a linear regression model of the data be most appropriate?
a)
YES
b)
NO
32.
Which residual plot shows that a linear regression model would be most appropriate?
a)
a
b)
b
c)
c
33.
Shown is a residual plot. Would a linear regression model of the data be most appropriate?
a)
YES
b)
NO
34.
After performing analyses on a set of data, Mrs. Schoeneck examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?
a)
A
b)
B
c)
C
35.
What should a residual plot look like?
a)
Distinct Pattern
b)
Curve
c)
Random
36.

Which equation do you use to calculate the residual?

a)

predicted - actual

b)

run / rise

c)

actual- predicted

d)

rise / run

37.

A correlation value (r) that has a strong, positive linear association would have a value close to

a)

1

b)

0

c)

-1

d)

Cannot be answered

38.

A scatterplot with a strong parabolic relationship would have a correlation (r) close to

a)

1

b)

0

c)

-1

d)

Cannot be determined

39.

Number of pets a person has and number of books a person has read

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

40.

Amount of Education and Amount of income

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

41.

Number of days absent from school vs. math average

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

42.

Distance traveled vs. amount of gas in the car

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

43.

Hours of studying vs. grades

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

44.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = 1.2

b)

B) r = 0.89

c)

C)r = 0

d)

D) r = -0.89

45.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = -0.9

b)

B) r = 1

c)

C) r = 0.9

d)

D) r = -1

46.
The correlation coefficient is a number "r" such that: 
a)
-1<r<1
b)
-1>r>1
c)
-1≤r≤1
d)
-1≥r≤1
47.
r=-0.89
a)
Strong positive 
b)
Weak positive 
c)
Strong negative 
d)
Weak negative 
48.
r=0.3
a)
Strong positive 
b)
Weak positive
c)
Strong negative
d)
Weak negative 
49.
Describe the relationship between the variables.
a)
Weak positive correlation
b)
Weak negative correlation
c)
Strong positive correlation
d)
Strong negative correlation
50.
Describe the relationship between the variables.
a)
Strong positive correlation
b)
Weak positive correlation
c)
Strong negative correlation
d)
Weak negative correlation
51.
Estimate the correlation coefficient
a)
r=-1
b)
r=1
c)
r=-0.5
d)
r=0.5
52.
Estimate the correlation coefficient.
a)
r=0
b)
r=-1
c)
r=1
d)
r=2
53.
Estimate the correlation coefficient.
a)
r=-1
b)
r=-0.5
c)
r=1
d)
r=0.5

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