Jennifer surveyed her classmates recording gender, whether or not they had siblings, and if they liked school.

Class Survey
Gender Have Siblings Like School
1 male 2 siblings like school
2 male no siblings does not like school
3 female no siblings like school
4 female no siblings does not like school
5 female 3 siblings like school
6 male 1 sibling like school
7 male 2 siblings like school
8 male no siblings like school
9 female 1 sibling like school
10 female 1 sibling like school
11 female 3 siblings does not like school
12 male 1 sibling like school
13 female 2 siblings like school
14 female no sibling like school
Which two-way table displays if they like school and if they have any siblings?

a
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b
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c
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d
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b

12876.png

A veterinarian collected data on the association between age and mass of Boxer puppies. A line of best fit was computed. The equation for the line is: y = 17.5x + 480. Which BEST interprets the slope of the linear model?



a
Each additional day is associated with an additional 17.5 grams of mass.

b
The predicted mass of a Boxer puppy at birth.

c
Every 17.5 days is associated with an additional 480 grams of mass.

d
Each additional day is associated with an additional 480 grams of mass.

a

Each additional day is associated with an additional 17.5 grams of mass.

Question 9 (2 points)

Choose the scatterplot(s) that DO NOT suggest a linear relationship between x and y.

a


b


c


d

c and d.

Consider the data shown on the graph:

The y-intercept represents the base price of $ for airfare from NYC..

The slope represents a cost of cents per mile traveled.

According to the equation given, someone who traveled 2000 miles from NYC would pay $ for their airfare

According to the equation given, someone who paid $500 for airfaire from NYC would have traveled miles.

If the base cost for airfare changed to $50 and the cost per mile is unchanged, the new equation would be

Word Bank:
y=30+0.50xy=50+0.30x100030200800
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The y-intercept represents the base price of $ 30 for airfare from NYC.

The slope represents a cost of 0.50 cents per mile traveled.

According to the equation given, someone who traveled 2000 miles from NYC would pay $ 1,030 for their airfare.

According to the equation given, someone who paid $500 for airfaire from NYC would have traveled 940 miles.

If the base cost for airfare changed to $50 and the cost per mile is unchanged, the new equation would be y = 50 + 0.50x.

What does the rate of change represent in context of the data?



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a
The price of airfare increases by $0.30 for each mile traveled
b
The price of airfare increases by $0.70 for each mile traveled.
c
The price of airfare decreases $0.30 for each mile traveled.
d
The price of airfare decreases $0.70 for each mile traveled.

a

The price of airfare increases by $0.30 for each mile traveled.

is this correct

Yes, it is correct.

The scatterplot shows the data collected from a survey of 19 students, in which they were asked how many hours per week they study (x) and what their GPAs are (y). What relationship, if any, is shown between the two sets of data?



a
There is an indirect correlation between them.
b
There is a negative correlation between them.
c
There is no correlation between them.
d
There is a positive correlation between them.

d

There is a positive correlation between them.

A consumer magazine investigated the relationship between new car purchase price and total repair costs over a 10-year period. The data are summarized in the table below. Each cell in the table shows the number of cars in that category.

ff37bfa2-8b62-4887-a370-db1ad93a0c33.jpg





A. According to the table, if the purchase price of a car was less than $20,000, what is the probability that its total repair costs were less than $10,000?

B. If a car had total repair costs of less than $10,000, what is the probability that its purchase price was more than $40,000? Express your answer as a decimal rounded to the nearest hundredth.



Word Bank:
about 9%about 46%about 43.7%about 20%about 25%about 32%
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A. According to the table, if the purchase price of a car was less than $20,000, the probability that its total repair costs were less than $10,000 is about 46%.

B. If a car had total repair costs of less than $10,000, the probability that its purchase price was more than $40,000 is about 9%.

A computer company hired interns from a group of 234 applicants. The table shows the numbers of applicants who were or were not computer science majors, and the numbers of applicants who were or were not hired.

7ead6f43-1c5b-49f6-8ce1-7af4820f36d5.jpg



Match the probabilites with the description.

Column A
1.
What is the probability that the intern had a Computer Science Major and did not get hired.:
What is the probability that the intern had a Computer Science Major and did not get hired.
2.
What is the probability that the intern had a major other than Computer Science?:
What is the probability that the intern had a major other than Computer Science?
3.
What is the probability that a Computer Science Major was hired?:
What is the probability that a Computer Science Major was hired?
4.
What is the probability that an intern with a major other than Computer Science was not hired?:
What is the probability that an intern with a major other than Computer Science was not hired?
Column B
a.Joint - 43.6%
b.Marginal - 31.6%
c.Conditional - 36.2%
d.Joint - 51.2%
e.Marginal - 68.3%
f.Conditional - 48.6%

1. Conditional - 43.6%

2. Marginal - 68.3%
3. Conditional - 48.6%
4. Joint - 51.2%

A high school class conducts a survey where students are asked about their eye color and whether or not they wear glasses. The two-way table below shows the results of the survey as relative frequencies.

64f1ab09-1bed-4726-8235-3dd81fdd08c7.png

A. Based on thee results of the survey, what is the probability, rounded to the nearest tenth, that a student had blue eyes and wore glasses?

B. Based on the results of the survey, what is the probability, rounded to the nearest tenth, that a student's eye color is brown given that the student wears glasses?

Word Bank:
4%20%12%24%8%42.9%16%
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A. Based on the results of the survey, the probability that a student had blue eyes and wore glasses is 12%.

B. Based on the results of the survey, the probability that a student's eye color is brown given that the student wears glasses is 42.9%.