Question

Which describes a uniform probability model?
Responses
A spinner with ten equally divided sectionsspinner with ten equally divided sections
B drawing a face or numbered card from a deck of cards
drawing a face or numbered card from a deck of cards
C selecting a coin from 3 quarters and 7 dimesselecting 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 one in which every possible outcome has the same likelihood of occurring.

Based on the options provided, the one that describes a uniform probability model is:

**A**: spinner with ten equally divided sections.

This is because each of the ten sections on the spinner has an equal chance of being landed on.

The other options do not represent uniform probability models:

**B**: Drawing a face or numbered card from a deck of cards does not have uniform probability since the probability of drawing a face card (Jacks, Queens, Kings) is different from drawing numbered cards.

**C**: Selecting a coin from 3 quarters and 7 dimes does not represent uniform probability, as the likelihood of selecting a dime is greater than that of selecting a quarter.

**D**: Selecting a month using only the first letter of that month (i.e., January, June, July) would not be uniform, because several months start with the same letter, which skews the probabilities.

Thus, the best choice for a uniform probability model is **A**.