BSN | Bachelor of Science in Nursing

Required Core Courses

Lower Division Courses

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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Upper Division Courses

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


Nursing Elective Courses

Learners must take 15 semester credits of elective courses related to nursing or areas related to the skills needed by nurses.


Lower Division Courses

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


Upper Division Courses

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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