MATH1342
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Elementary Statistical Methods
Department(s)
Course Description
(3-3-0) Core Area 020 This course is taken for academic credit. (Prerequisite: Meets TSI college readiness non-algebraic intensive standard) Students will earn an A, B, C, D, F, or W. Collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Use of appropriate technology is recommended
Academic Level
Undergraduate Credit
CIP Code
27.0501 - Statistics, General
Course Type (Attributes)
General Academic (ACGM) (ACGM)
Locations
Athens (01), Palestine Satellite (02), Terrell Satellite (03), Online (06), Dual Credit - High School (09)
This is a Coursedog only field and is not integrated with the SIS.
Objective
Explain the use of data collection and statistics as tools to reach reasonable conclusions.
Objectives
Explain the use of data
collection and statistics as
tools to reach reasonable
conclusions.
collection and statistics as
tools to reach reasonable
conclusions.
Objective
Recognize, examine, and interpret the basic principles of describing and presenting data.
Objectives
Recognize, examine and
interpret the basic principles
of describing and presenting
data.
interpret the basic principles
of describing and presenting
data.
Objective
Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
Objectives
Compute and interpret
empirical and theoretical
probabilities using the rules
of probabilities and
combinatorics.
empirical and theoretical
probabilities using the rules
of probabilities and
combinatorics.
Objective
Explain the role of probability in statistics.
Objectives
Explain the role of
probability in statistics.
probability in statistics.
Objective
Examine, analyze and compare various sampling distributions for both discrete and continuous random variables.
Objectives
Examine, analyze and
compare various sampling
distributions for both
discrete and continuous
random variables.
compare various sampling
distributions for both
discrete and continuous
random variables.
Objective
Describe and compute confidence intervals.
Objectives
Describe and compute
confidence intervals.
confidence intervals.
Objective
Solve linear regression and correlation problems.
Objectives
Solve linear regression and
correlation problems.
correlation problems.
Objective
Perform hypothesis testing using statistical methods.
Objectives
Perform hypothesis testing
using statistical methods.
using statistical methods.