CHAPTER 1
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Review 113
CHAPTER 1
REVIEW
CONCEPT CHECK
Make sure you understand each of the ideas and concepts that you learned in this chapter,
as detailed below, section by section. If you need to review any of these ideas, reread the
appropriate section, paying special attention to the examples.
1.1 Making Sense of Data
A set of one-variable data is a list of numbers, usually obtained by recording val-
ues of a varying quantity. The average of a list of n numbers is their sum divided
by n. If the list is written in order, then its median is either the middle number (if n
is odd) or the average of the two middle numbers (if n is even).
A set of two-variable data involves two varying quantities that are related to
each other. For example, recording the heights and weights of all the students in a
class gives a set of two-variable data. We can use a table with two columns or two
rows to record two-variable data.
1.2 Visualizing Relationships in Data
Two-variable data are sets of related ordered pairs of numbers. Any set of ordered
pairs is a relation. The first element in each ordered pair is the input, and the sec-
ond is the corresponding output. The domain of the relation is the set of all inputs,
and the range is the set of all outputs.
To see patterns and trends in two-variable data, we can graph the ordered pairs
in the relation given by the data, on a coordinate plane. Such a graph is called a scat-
ter plot.
1.3 Equations: Describing Relationships in Data
A mathematical model is an equation that describes the relationship between the
variables in a real-world situation. Data can often be modeled by using a linear
model, which is an equation of the form
In this equation, A is the initial value of y (the value when ), and B is the
amount by which y changes for every unit increase in x. A scatter plot can often tell
us whether data are best modeled with a linear model. If a set of data has equally
spaced inputs, then we can use the first differences of the outputs to determine
whether a linear model is appropriate for the data.
Using a model, we can predict output values for any input by substituting the in-
put into the equation and solving for the output.
1.4 Functions: Describing Change
A function is a relation in which each input gives exactly one output. We say that y
is a function of x if for every input x there is exactly one output y, and we refer to x
as the independent (input) variable and y as the dependent (output) variable.
x = 0
y = A + Bx
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