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SELECT COURSE
Algebra II
1-8 Math
BrainMath
Algebra I
Algebra II
Precalculus
6-8 Science
Biology
Chemistry
Physics
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All Algebra II
A.
Equations and Inequalities
B.
Linear Equations and Functions
C.
Linear Systems and Matrices
D.
Quadratic Functions and Factoring
E.
Polynomials and Polynomial Functions
F.
Rational Exponents and Radical Functions
G.
Exponential and logarithmic Functions
H.
Rational Functions
I.
Quadratic Relations and Conic Sections
J.
Counting Methods and Probability
K.
Data Analysis and Statistics
L.
Sequences and Series
Algebra II
»
K.
Data Analysis and Statistics
K.1.
Finding Measures of Central Tendency and Dispersion
K.1.M.
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K.1.Q.
Unit Challenge
K.1.1.
Measures of Central Tendency
K.1.1.1.
Finding the Mean, Median, and Mode of a Data Set
K.1.2.
Measures of Dispersion
K.1.2.1.
Finding the Range and Standard Deviation of a Data Set
K.1.2.2.
Finding Outliers of a Data Set
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K.2.
Normal Distributions
K.2.M.
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K.2.Q.
Unit Challenge
K.2.1.
The Normal Curve
K.2.1.1.
Finding Probability Under a Normal Curve
K.2.1.2.
Interpreting Normally Distributed Data
K.2.2.
The Standard Normal Distribution
K.2.2.1.
Finding Z-Scores Given Data
K.2.2.2.
Finding Probability Using Z-Scores and the Standard Normal Table
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K.3.
Selecting and Drawing Conclusions from Samples
K.3.M.
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K.3.Q.
Unit Challenge
K.3.1.
Sampling Techniques
K.3.1.1.
Classifying the Type of Sampling Technique Used Given a Study
K.3.2.
Sampling Bias
K.3.2.1.
Identifying the Study with Sampling Bias
K.3.3.
Margin of Error
K.3.3.1.
Finding the Margin of Error Given Sample Size
K.3.3.2.
Finding the Sample Size Given Margin of Error
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K.4.
Choosing the Best Model for Two-Variable Data
K.4.M.
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K.4.Q.
Unit Challenge
K.4.1.
Using the Best Model for Two-Variable Data
K.4.1.1.
Using a Linear Model for Two-Variable Data
K.4.1.2.
Using an Exponential Model for Two-Variable Data
K.4.1.3.
Using a Quadratic Model for Two-Variable Data
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