Learning outcomes
After completing this course, in straightforward situations you should be able to:
- Choose graphical and numerical summarise of a batch of values and use them to answer questions
about variability in the data.
- Summarise the relationship between two numerical or categorical variables.
- Critically examine data collected by others and the conclusions that they draw.
- Effectively present the information that you extract from data to others.
- Collect data with surveys and experiments to help answer real-life questions.
- Use distributions and sampling to model variability in data.
- Estimate population characteristics with confidence intervals. These characteristics include means,
proportions, differences between means, differences between proportions, regression slopes and
predictions from regression lines.
- Use hypothesis tests to assess whether there are differences between groups or relationships between
Variables
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