Question

Which describes a uniform probability model?
Responses

A Spinner with ten equally divided sections

B Drawing a face or numbered card from a deck of cards

C Selecting a coin from 3 quarters and 7 dimes

D Selecting a month using only the first letter of that month

Answer 1

A uniform probability model is characterized by all possible outcomes having the same likelihood of occurring.

Let’s analyze each option:

A. **Spinner with ten equally divided sections** - This is a uniform probability model because each section has an equal chance of being landed on.

B. **Drawing a face or numbered card from a deck of cards** - This is not uniform because the probabilities differ (there are more numbered cards than face cards).

C. **Selecting a coin from 3 quarters and 7 dimes** - This is not uniform because the probability of selecting a quarter is different from that of selecting a dime.

D. **Selecting a month using only the first letter of that month** - This is not uniform because not all months start with unique letters (e.g., March and May both start with 'M').

Based on this analysis, the option that best describes a uniform probability model is:

**A - Spinner with ten equally divided sections.**