Key Concepts:
- Using Frequency Tables for Probability: Probabilities can be derived by interpreting numerical data in tables.
- Applications in Surveys and Grouped Data: Real-world scenarios, such as voting results or categorized objects, can be analyzed using probability.
Skills Covered:
- Extracting relevant data from tables.
- Computing probabilities based on categorized data.
Example Problems:
- A table shows votes for different school mascots. If one vote is picked at random, what is the probability it is for "Lion"?
- A factory produces 1000 beads, 30 of which are defective. If one bead is randomly selected, what is the probability it is defective?