Measures of Central Tendency and Spread
| Site: | Young Education |
| Cours: | Data and Probability Foundations |
| Livre: | Measures of Central Tendency and Spread |
| Imprimé par: | Gast |
| Date: | vendredi 25 septembre 2026, 02:38 |
1. Mean (Average)
Learning outcomes
- I can calculate the mean of a dataset.
- I can explain what the mean represents.
- I can interpret averages in real-world situations.
- I can compare datasets using their means.
- I can recognize situations where the mean may be misleading.
2. Median and Mode
Learning outcomes
- I can determine the median of a dataset.
- I can identify the mode of a dataset.
- I can compare mean, median, and mode.
- I can select appropriate measures of center for different situations.
- I can interpret median and mode in context.
3. Range and Variability
Learning outcomes
- I can calculate the range of a dataset.
- I can explain the concept of variability.
- I can compare datasets using measures of spread.
- I can interpret differences in variability.
- I can explain why variability is important when analyzing data.
4. Outliers and Their Effects
Learning outcomes
- I can identify outliers in a dataset.
- I can explain how outliers affect the mean.
- I can evaluate the impact of outliers on data interpretation.
- I can determine when an outlier should be investigated further.
- I can compare datasets with and without outliers.
5. Summarizing Data
Learning outcomes
- I can select appropriate measures of center and spread.
- I can summarize datasets using statistical measures.
- I can compare multiple datasets effectively.
- I can draw conclusions from statistical summaries.
- I can communicate findings using appropriate statistical language.