AALS | Associate of Arts in Liberal Studies

Associate Degree Courses at CalSouthern

The following associate degree courses comprise the curriculum of CalSouthern’s Associate of Arts in Liberal Studies (AALS) program. If you have questions regarding any of these associates degree courses, or about CalSouthern’s AALS program, please contact an Enrollment Advisor today.

English

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
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Humanities

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Mathematics

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Natural Science

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Social Science

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


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