standard_description: Summarize numerical data sets in relation to their context, such as by:
- Reporting the number of observations.
- Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
- Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
- Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
problem_activity: A tee-shirt store sells long sleeve (LS) and short sleeve (SS) tee-shirts. In the fall, they stock 4 LS tee-shirts for every 3 SS tee-shirts. In the spring, they stock only 2 LS tee-shirts for every 5 SS tee-shirts.
If the store stocks the same number of tee-shirts in the fall and in the spring, and there are 105 SS tee-shirts in the fall, how many SS tee-shirts does the store stock in the spring?


aligns: no