Calculate basic descriptive statistics and interpret their meaning in applLearning Outcomes
Explore and apply different levels of measurements, as well as understanding independent/dependent variables in research scenarios.
Calculate basic descriptive statistics and interpret their meaning in application.
Construct and interpret graphs and tables to demonstrate analytical proficiency.
Calculate basic descriptive statistics and interpret their meaning in application.
Apply the principles of normal distribution as they relate to a population distribution.
Explore and apply basic probability theory to calculations and hypothesis testing.
Calculate basic descriptive statistics and interpret their meaning in application.
Apply the principles of normal distribution as they relate to a population distribution.
Compare and contrast various aspects of descriptive data analysis and inferential data analysis.
Explore and apply basic probability theory to calculations and hypothesis testing.
Analyze the use and applicability of statistics in personal, professional, and academic applications, and as a tool for research.
Undertake data analysis by applying the principles of causation versus correlation.
Calculate and utilize confidence intervals and margin of error in population estimation results.
Calculate basic descriptive statistics and interpret their meaning in application.
Apply the principles of normal distribution as they relate to a population distribution.
Compare and contrast various aspects of descriptive data analysis and inferential data analysis.
Explore and apply basic probability theory to calculations and hypothesis testing.
Calculate and utilize confidence intervals and margin of error in population estimation results.
Analyze the use and applicability of statistics in personal, professional, and academic applications, and as a tool for research.
Compare and contrast various aspects of descriptive data analysis and inferential data analysis.
Explore and apply basic probability theory to calculations and hypothesis testing.
Undertake data analysis by applying the principles of causation versus correlation.
Calculate and utilize confidence intervals and margin of error in population estimation results.
Determine alpha (p-values), and interpret p-levels as it relates to statistical significance.
Utilize statistical software to conduct data analysis.
Explore and apply different levels of measurements, as well as understanding independent/dependent variables in research scenarios.
Construct and interpret graphs and tables to demonstrate analytical proficiency.
Calculate basic descriptive statistics and interpret their meaning in application.
Apply the principles of normal distribution as they relate to a population distribution.
Compare and contrast various aspects of descriptive data analysis and inferential data analysis.
Explore and apply basic probability theory to calculations and hypothesis testing.
Undertake data analysis by applying the principles of causation versus correlation.
Calculate and utilize confidence intervals and margin of error in population estimation results.
Determine alpha (p-values), and interpret p-levels as it relates to statistical significance.
Utilize statistical software to conduct data analysis.
Analyze the use and applicability of statistics in personal, professional, and academic applications, and as a tool for research.