The emphasis in this statistical applications course is on thinking about research issues in a statistically sound and practical fashion. Students will learn how 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.
Describe the role of data analysis in the research process.
Describe the differences between descriptive and inferential statistical analysis.
Differentiate the four levels of measurement.
Analyze a visual display of data.
Interpret measures of central tendency.
Interpret measures of variability.
Describe the standard normal distribution.
Inferring From Data
Describe the two types of errors that are present in hypothesis testing.
Interpret statistical significance.
Types of Statistical Techniques
Differentiate between parametric and nonparametric statistics.
Interpret the results of various types of statistical tests in health care research.
Statistical Software Application
Identify the benefits of using statistical software for data analysis.
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