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Course Description
This
course provides an introduction to descriptive and inferential
statistics.
Topics included are mean, standard deviation, variance,
probability, random variables, binomial probability distribution,
normal probability distribution, central limit theorem, testing
hypotheses, confidence intervals, t-distribution, chi-square
distribution, F-distribution, linear regression, and linear
correlation.
This course is a beginning statistics course designed for all
majors.
A graphing calculator is required.
(Formerly MATH 12)
Course Content
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Basic
terminology
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Data
collection
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Histograms
and Ogive graphs
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Measures
of central tendency
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Measures
of dispersion
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Measures
of position
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Linear
correlation
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Linear
regression
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Use
of a graphing calculator
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Use
of computer software
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Probability
of events
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Rules
of probability
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Probabilities
of compound events
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Discrete
probability distributions
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Binomial
probability distribution
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Normal
probability distribution
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Central
Limit Theorem
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Hypothesis
testing
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Inferences
involving one population
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Inferences
involving two populations
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T-distribution
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F-distribution
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Chi-square
distribution
Course Objectives
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Develop
an understanding of sampling techniques
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Use
tables and graphs to interpret statistical information
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Develop
skills in using and understanding formulas for calculating
descriptive statistics such as mean, median variance and
standard deviation
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Use
the appropriate tables to find probabilities and critical values
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Develop
the ability to draw conclusions and make statistical inferences
based on sample data
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Use
the appropriate technology available with graphing calculators
and computers in analyzing data and presenting statistical
information
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Develop
an appreciation and understanding of the nature of statistics
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Develop
an awareness of the potential uses of statistics in daily life
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