|
Standards |
Description |
Lessons |
|
1 |
Utilize
matrices to solve problems manually or with technological tools. |
6 |
|
2 |
Solve problems
involving maximum or minimum values of functions by using linear
programming procedures. |
5 |
|
3 |
Graph conic
sections, centered at and rotated about the origin, given the
equations. |
4 |
|
4 |
Graph polynomial
functions. |
4 |
|
5 |
Solve systems of
linear and quadratic equations and inequalities. |
5 |
|
6 |
Approximate
solutions of trigonometric and exponential equations from tables and
graphs. |
7 |
|
7 |
Expand powers of
binomials using the Binomial Theorem. |
4 |
|
8 |
Plot points in a
polar coordinate system given their coordinates in polar form, a
table of values, or an equation. |
7 |
|
9 |
Compare
summary statistics for sets of data represented in a graph, a
stem-and-leaf chart, a box-and-whisker graph, a histogram, a
linear or quadratic equation of best fit of a scatterplot, and a
frequency distribution. |
8 |
|
10 |
Calculate
descriptive statistics of univariate data, including measures of
central tendency, measures of dispersion, and measures of
position. |
5 |
|
11 |
Interpret
relationships of bivariate data using linear or quadratic
regression and linear correlation. |
4 |
|
12 |
Test a
hypothesis for a study that involves one or two populations,
generating the appropriate descriptive statistics. |
5 |
|
13 |
Calculate
probabilities of mutually exclusive, independent, and dependent
events using permutations, combinations, and laws of probability. |
7 |
|
14 |
Determine the
probability of an event using a frequency distribution curve. |
7 |
|
15 |
Analyze the
data from a student-designed study to create a distribution curve
and to determine the resulting confidence interval. |
3 |
|
16 |
Analyze
differences among experimental, simulation, and theoretical
probability techniques, including the advantages and disadvantages
of each. |
3 |
