Statistics (40325)
.5 credit, 1 semester Elective
Grades 10-12
Prerequisites: Advanced Algebra and approval of the
math department.
Statistics surround us in modern education,
business, and life. The need for people to become
statistically literate is imperative for them to be
able to fully comprehend information that will
continually bombard them in life. In this class,
students go beyond the basic statistics they have
learned to explore the statistics of both
categorical and quantitative data, constructing and
interpreting graphical displays of distributions of
univariate and bivariate data (dotplot, stemplot,
histogram, cumulative frequency plot, scatterplots,
two-way tables), summarizing distributions of
univariate data, comparing distributions of
univariate data (dotplots, back-to-back stemplots,
parallel boxplots), exploring bivariate data,
methods of data collection, planning and conducting
surveys, sampling, planning and conducting
experiments, discussing results and types of
conclusions that can be drawn from observational
studies, experiments, and surveys, probability,
combining independent random variables, the normal
distribution, and properties of the normal
distribution.
Statistics is
a college-prep course.
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AP Statistics (40326)
1.0 credit, 2 semesters
Elective Grades 10-12
Prerequisites: Advanced Algebra and approval of the
math department.
Statistics surround us in
modern education, business, and life. The need for
people be become statistically literate is
imperative for them to be able to fully comprehend
information that will continually bombard them in
life. In this class, students go beyond the basic
statistics they have learned to explore the
statistics of both categorical and quantitative
data, constructing and interpreting graphical
displays of distributions of univariate and
bivariate data (dotplot, stemplot, histogram,
cumulative frequency plot, scatter plots, two-way
tables), summarizing distributions of univariate
data, comparing distributions of univariate data (dotplots,
back-to-back stemplots, parallel boxplots),
exploring bivariate data, transformations to achieve
linearity: logarithmic and power transformations,
methods of data collection, planning and conducting
experiments, discussing results and types of
conclusions that can be drawn from observational
studies, experiments, and surveys, probability,
combining independent random variables, the normal
distribution, properties of the normal distribution,
sampling distributions, statistical inference, point
estimators and confidence intervals, and tests of
significance.
AP Statistics
is
a college-prep course.
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