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

MATH 1305 Statistics for the Behavioral Sciences

Credits : 3

This course introduces the Learner to the basic design methodologies and statistical techniques used in behavioral sciences. Some of the topics considered are mixed and correlation designs, analysis of variance and data collection procedures. These topics are divided into two parts: descriptive statistics and inferential statistics.

Learning Outcomes:
  • Integrate the course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Describe the types of statistics.
  • Interpret frequency distributions.
  • Compare measures of central tendency.
  • Calculate measures of variability.
  • Explain correlation coefficients and linear regression.
  • Demonstrate hypothesis testing.
  • Analyze the one-sample and two-sample t-Test.
  • Illustrate the visualization of ANOVA concepts.
  • Classify the characteristics of chi-square.
  • Evaluate information critically and effectively.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course concepts.
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Humanities

MATH 1305 Statistics for the Behavioral Sciences

Credits : 3

This course introduces the Learner to the basic design methodologies and statistical techniques used in behavioral sciences. Some of the topics considered are mixed and correlation designs, analysis of variance and data collection procedures. These topics are divided into two parts: descriptive statistics and inferential statistics.

Learning Outcomes:
  • Integrate the course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Describe the types of statistics.
  • Interpret frequency distributions.
  • Compare measures of central tendency.
  • Calculate measures of variability.
  • Explain correlation coefficients and linear regression.
  • Demonstrate hypothesis testing.
  • Analyze the one-sample and two-sample t-Test.
  • Illustrate the visualization of ANOVA concepts.
  • Classify the characteristics of chi-square.
  • Evaluate information critically and effectively.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course concepts.
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Mathematics

MATH 1305 Statistics for the Behavioral Sciences

Credits : 3

This course introduces the Learner to the basic design methodologies and statistical techniques used in behavioral sciences. Some of the topics considered are mixed and correlation designs, analysis of variance and data collection procedures. These topics are divided into two parts: descriptive statistics and inferential statistics.

Learning Outcomes:
  • Integrate the course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Describe the types of statistics.
  • Interpret frequency distributions.
  • Compare measures of central tendency.
  • Calculate measures of variability.
  • Explain correlation coefficients and linear regression.
  • Demonstrate hypothesis testing.
  • Analyze the one-sample and two-sample t-Test.
  • Illustrate the visualization of ANOVA concepts.
  • Classify the characteristics of chi-square.
  • Evaluate information critically and effectively.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course concepts.
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Natural Science

MATH 1305 Statistics for the Behavioral Sciences

Credits : 3

This course introduces the Learner to the basic design methodologies and statistical techniques used in behavioral sciences. Some of the topics considered are mixed and correlation designs, analysis of variance and data collection procedures. These topics are divided into two parts: descriptive statistics and inferential statistics.

Learning Outcomes:
  • Integrate the course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Describe the types of statistics.
  • Interpret frequency distributions.
  • Compare measures of central tendency.
  • Calculate measures of variability.
  • Explain correlation coefficients and linear regression.
  • Demonstrate hypothesis testing.
  • Analyze the one-sample and two-sample t-Test.
  • Illustrate the visualization of ANOVA concepts.
  • Classify the characteristics of chi-square.
  • Evaluate information critically and effectively.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course concepts.
Back


Social Science

MATH 1305 Statistics for the Behavioral Sciences

Credits : 3

This course introduces the Learner to the basic design methodologies and statistical techniques used in behavioral sciences. Some of the topics considered are mixed and correlation designs, analysis of variance and data collection procedures. These topics are divided into two parts: descriptive statistics and inferential statistics.

Learning Outcomes:
  • Integrate the course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Describe the types of statistics.
  • Interpret frequency distributions.
  • Compare measures of central tendency.
  • Calculate measures of variability.
  • Explain correlation coefficients and linear regression.
  • Demonstrate hypothesis testing.
  • Analyze the one-sample and two-sample t-Test.
  • Illustrate the visualization of ANOVA concepts.
  • Classify the characteristics of chi-square.
  • Evaluate information critically and effectively.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course concepts.
Back


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