standard_description: Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
problem_activity: Task
Ari has collected data on how much her classmates study each week and how well they did on their recent math test. Here is part of the data, showing the percentage of each group (divided according to hours spent studying) who got different grades on the test:
| Weekly Hours $w$ Studying | C or below on test | B on test | A on test |
|---------------------------|--------------------|-----------|-----------|
|         $w \lt$ 3         |        50%         |    20%    |    30%    |
|     $3 \leq w \lt 6$      |        60%         |    25%    |    15%    |
|        $w \geq 6$         |        60%         |    20%    |    20%    |
What can you conclude about the percentage of Ari's classmates who got B's? What about the percent who got A's?
Looking at the table, Ari decides that in order to do well in her math class, she should not study more than 3 hours a week: she has a 30 percent chance of getting an A as long as she does not study more than 3 hours per week. Is Ari's reasoning valid?


aligns: no