NC.M2.S-IC.2
Use simulation to determine whether the experimental probability generated by sample data is consistent with the theoretical probability based on known information about the population.
Example Problems
Last weekend, 289 of 376 moviegoers bought popcorn.
Based on this data, what is a reasonable estimate of the probability that the next moviegoer does not buy popcorn?
Write your answer as a fraction, as a decimal, or as a percent rounded to the nearest hundredth.
Based on this data, what is a reasonable estimate of the probability that the next moviegoer does not buy popcorn?
Write your answer as a fraction, as a decimal, or as a percent rounded to the nearest hundredth.
The frequency table summarizes last week's bed sales at Cloud Nine Furniture.
Based on this data, what is a reasonable estimate of the probability that the next bed sold is a twin bed?
| Size of Bed | Number of Beds |
|---|---|
| Twin | 3 |
| Double | 6 |
| Queen | 4 |
| King | 2 |
Based on this data, what is a reasonable estimate of the probability that the next bed sold is a twin bed?
The frequency table records last week's soft drink sales at Refreshment Corner.
Based on this data, what is a reasonable estimate of the probability that the next drink sold is orange?
| Flavor | Number Sold |
|---|---|
| Cola | 20 |
| Lemon-Lime | 10 |
| Orange | 15 |
| Grape | 5 |
Based on this data, what is a reasonable estimate of the probability that the next drink sold is orange?
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