STAT 100 (Elementary Statistics and Probability)
DESCRIPTION |
STAT 100 introduces the basic concepts of statistical
reasoning and modern computer based techniques for organizing and
interpreting data. Students will learn how to summarize data, how to
interpret variability in data in terms of probability, and how to apply
statistical methods to examples. Real world applications from the
social, behavioral and biological sciences are used to illustrate the
usefulness of statistical techniques. The MINITAB software package is
used throughout the course, providing powerful and easy to use tools
for statistical analysis. Computer exercises involving data reduction,
graphics, simulation and statistical analysis will be assigned
throughout the semester. |
PREREQUISITES |
Permission of Mathematics Department based on satisfactory
score in Math Placement Exam or MATH 110 or MATH 115. Not open to
students who have completed MATH 111 or any who have completed MATH or
STAT course with a prerequisite of MATH 141. |
TOPICS |
Populations, samples and data description; MINITAB for data analysis.
Discrete probability, axioms, conditional probability, independence.
Random variables, expected value, variance, standard deviation.
Binomial and normal probability laws.
Statistics and sampling distributions, behavior of averages, central
limit theorem.
Estimating means, variances and proportions in large samples,
hypothesis testing, confidence limits.
Inference in small samples, Student's t distribution.
Comparing means: paired comparisons, two independent samples.
Categorical data: frequency tables, chi-squared tests for goodness of
fit, homogeneity and independence.
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TEXT |
Text(s)
typically used in this course. |
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