Math 108X Unit 3: Ch 10, Ch 11, Ch 12, C

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BYU-I Math 108X Math for the Real World Textbook; Ch 10 Making Predictions from data;

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24 Terms

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Data analysis

the method of collecting, graphing, and analyzing data in order to understand patterns in the data

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Names for input variable

x-variable

independent variable

explanatory variable

predictor variable

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Names for output variable

y-variable

dependent variable

response variable

outcome variable

result variable

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trendline

the graph of a function that describes the pattern or trend in data represented by input and output variablesc

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A correlation between two variables does not?

imply there is a casual relationship

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system of equations

a list of two or more equations that use the same input and output variables.

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intersection point

satisfies both equations in a system so it represents the solution we are looking for

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Independent system

Formed when two lines intersect at one point.

The point where the lines intersect is the solution to the system.

<p>Formed when two lines intersect at one point.</p><p>The point where the lines intersect is the solution to the system.</p>
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Inconsistent system

is formed when two lines are parallel and never intersect.

has no solution.

<p>is formed when two lines are parallel and never intersect.</p><p>has no solution.</p>
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dependent system

formed when the two equations in the system actually represent the same line.

Every point on the line is a solution to the system. So the solution has infinitely-many solutions.

<p>formed when the two equations in the system actually represent the same line.</p><p>Every point on the line is a solution to the system. So the solution has infinitely-many solutions.</p>
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What is one way to solve a system of equations

The substitution method

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substitution method

to solve a system of equations with this you eliminate one variable from one of the equations by substituting an expression for that variable from the other equation.

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Probability

a measurement between 0 and 1 of how likely an event is to happen. An event with a probability of 0 will never happen. An event with a probability of 1 is certain to happen.

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sample space

a list of all the possible outcomes of an event

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probability model

consists of the sample space along with the probability of each possible outcome.

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empirical probability

determined by historical data or by trying the event many times and computing how often the desired outcome occurs

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In order for an empirical probability to be accurate,

it must be based on a very large number of trials

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theoretical probability

determined by using your knowledge of the situation and mathematical formulas to predict how often the desired outcome will occur in the future

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parameter

a number based on a survey of the entire population

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statistic

a number based on a survey of just a sample of the population

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Statistics are used to estimate …

the true percentage (the parameter) for the whole population.

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margin of error

helps us measure how far our statistic might be from the true percentage (the parameter).

=1/√n

n represents the total number of people in the sample

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confidence interval

a tool for estimating a parameter. is the range of values you expect your estimate to fall between if you redo your test, within a certain level of confidence usually 95%

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Confidence interval equation

Confidence interval=the statistic+-margin of error

C=x/n+-1/√n

x represents the number of people in the sample with the characteristic

n represents the total number of people in the sample