For each topic, we identified a set of student learning outcomes - statements describing what we want students to know or to be able to do after learning the topic. These learning outcomes form the structure of our electronic assessment model. There are 218 learning outcomes across our 27 topics. Within each topic, learning outcomes are denoted by capital letters, starting with A. The combination of topic number and learning outcome letter completely specifies the course learning outcome in our model. Student understanding of learning outcomes is assessed through the use of the online homework question database and the clicker question database.
Note: The learning outcomes included in this electronic assessment model are not a comprehensive list of learning outcomes for a first course in statistics. Important course outcomes, such as the use of software for data analysis and inferential statistics, the ability to design and conduct an appropriate randomized experiment, and the ability to communicate statistical results, cannot be assessed through automatically graded electronic questions. Only outcomes that could be assessed through the electronic format are included in our lists. Learning outcomes for Topic 06 and 19 are given below.
| Letter | Outcome |
|---|---|
| A | Use standardizing to determine how many standard deviations an observation is away from the mean value. |
| B | Use z-scores to compare observations for different quantitative variables. |
| C | Explain how standardizing affects the shape, center, and variability of the distribution of a quantitative variable. |
| D | Determine which quantitative variables could be modeled using the normal distribution by interpreting graphical representations of the variable. |
| E | Apply the 68-95-99.7 Rule to any quantitative variable with a normal distribution. |
| F | Find percentile or area values for any given observation from a normal distribution. |
| G | Find the value of an observation when given a percentile or area value from the normal distribution. |
| Letter | Outcome |
|---|---|
| A | Find the confidence interval for the population mean. |
| B | Interpret the confidence interval for the population mean in context. |
| C | Describe what it means to be confident. |
| D | Verify the conditions for conducting inference for the population mean are met. |
| E | Describe the relationship between the width of a confidence interval (margin of error) and the confidence level. |
| F | Describe the relationship between the width of a confidence interval (margin of error) and the sample size. |
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