Completed Workflow
Registrar's Office
Approval Path
Tue, 14 May 2024 19:59:17 GMT
Cory Williams (cwilliam): Approved for Registrar's Office
History
May 14, 2024 by Mary Grady (mgrady)
Viewing outcome relationships between
1841
and
157 - Associate Degree Nursing Paramedic to RN Pathway
Last approved:
Tue, 14 May 2024 19:59:18 GMT
Last edit:
Mon, 13 May 2024 17:10:56 GMT
Changes proposed by: Mary Grady (mgrady)
Program Code
157 - Associate Degree Nursing Paramedic to RN Pathway
Course Code
1841
Learning Outcomes Relationships
PLO 2: Integrate best current evidence with clinical expertise and patient/family preferences and values for delivery of optimal health care. (EBP)
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.
CLO 3: Summarize bivariate data using graphical and numerical summaries including scatter plots, correlation coefficients and least squares regression lines.
CLO 4: Apply basic concepts of probability such as sample spaces, events (independent or dependent) and their associated probabilities using addition and multiplication rules.
CLO 5: Construct and interpret a confidence interval for a population parameter (such as proportion, mean, difference in proportions and difference in means) by using percentiles of a bootstrap distribution.
CLO 6: Use a randomization distribution for a population proportion, mean, difference of proportions, and difference of means to perform the corresponding hypothesis test for a given sample and null hypothesis.
CLO 7: Use the normal distribution to interpret z-scores and compute probabilities.
CLO 8: Describe the principles of data collection including randomization, sampling design, and comparison. Distinguish between observational and experimental studies.
CLO 9: Apply the Central Limit Theorem to obtain the approximate sampling distributions of means and proportions.
CLO 10: Use either a normal or t-distribution, as appropriate, to obtain a margin of error and construct the corresponding confidence interval. Interpret the results.
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.
PLO 3: Prioritize data to monitor the outcomes of care processes in order to ensure patient safety and minimize risk of harm. (quality improvement/safety)
CLO 1: Describe and interpret univariate data using graphical summaries such as box-plots, histograms, pie charts, bar charts and dot plots.
CLO 3: Summarize bivariate data using graphical and numerical summaries including scatter plots, correlation coefficients and least squares regression lines.
CLO 4: Apply basic concepts of probability such as sample spaces, events (independent or dependent) and their associated probabilities using addition and multiplication rules.
CLO 5: Construct and interpret a confidence interval for a population parameter (such as proportion, mean, difference in proportions and difference in means) by using percentiles of a bootstrap distribution.
CLO 6: Use a randomization distribution for a population proportion, mean, difference of proportions, and difference of means to perform the corresponding hypothesis test for a given sample and null hypothesis.
CLO 7: Use the normal distribution to interpret z-scores and compute probabilities.
CLO 10: Use either a normal or t-distribution, as appropriate, to obtain a margin of error and construct the corresponding confidence interval. Interpret the results.
Key: 1517