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Mar 21, 2024 by bbergman
Viewing outcome relationships between
MTHM 168 - STATISTICS
and
3 - Clinical Laboratory Science Technology
Last approved:
Thu, 21 Mar 2024 18:03:21 GMT
Last edit:
Thu, 29 Feb 2024 01:17:21 GMT
Program Code
3 - Clinical Laboratory Science Technology
Course Code
MTHM 168 - STATISTICS
Learning Outcomes Relationships
PLO 1: Evaluate patient and quality control test results, recognizing normal, abnormal, and critical values, and take appropriate follow up action when necessary
CLO 1: Describe and interpret univariate data using graphical summaries such as box-plots, histograms, pie charts, bar charts and dot plots.
CLO 2: Describe and interpret univariate data using numerical summaries such as proportions, mean, median, percentiles and standard deviation.
PLO 7: Participate in the appropriate aspects of a laboratory quality assurance program
CLO 2: Describe and interpret univariate data using numerical summaries such as proportions, mean, median, percentiles and standard deviation.
CLO 8: Describe the principles of data collection including randomization, sampling design, and comparison. Distinguish between observational and experimental studies.
CLO 11: Perform a full hypothesis test for a population proportion and mean using either a normal or t-distribution, as appropriate. This process should include: formulating a null and alternative hypothesis from a given claim, choosing a test statistic, describing the rejection criteria, making a decision using a p-value or critical value, drawing an appropriate conclusion, and describing Type I and Type II errors.
Key: 1117