The emphasis in this statistical applications course is on thinking about research issues in a statistically sound and practical fashion. Students will learn to formulate and ask the right questions, how to collect data effectively, how to summarize and interpret information, and how to understand the limitations of statistical inferences.
Identify the benefits of using statistical software for data analysis.
Types of Statistical Techniques
Interpret the results of various types of statistical tests in health care research.
Differentiate between parametric and nonparametric statistics.
Inferring from Data
Interpret statistical significance.
Describe the two types of errors that are present in hypothesis testing.
Describe the standard normal distribution.
Interpret measures of variability.
Interpret measures of central tendency.
Data Analysis and Measurement in Statistics
Analyze a visual display of data
Differentiate the four levels of measurement.
Describe the differences between descriptive and inferential statistical analysis.
Describe the role of data analysis in the research process.
The University of Phoenix reserves the right to modify courses.
While widely available, not all programs are available in all locations or in both online and on-campus formats. Please check with a University Enrollment Advisor.
Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.