QuICK CHECK Check all of the situations that you would expect to be approximately normally distributed. $$ \square $$ the SAT scores of high school seniors $$ \square $$ the salaries for members of a professional football team the shoe sizes of 17-year-old males the at which a child loses his or her first tooth toner

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To determine if a situation is approximately normally distributed, we need to check if the data follows a bell-shaped curve with the majority of the data points clustering around the mean and tapering off gradually towards the extremes.

Let's analyze each situation:

1. **The SAT scores of high school seniors**: SAT scores are typically considered to be approximately normally distributed. This is because the scores are standardized and follow a bell-shaped curve.

2. **The salaries for members of a professional football team**: Salaries for professional football players can vary widely, and it is unlikely that they would follow a normal distribution. The salaries are often skewed towards the higher end, with a few players earning significantly more than the rest.

3. **The shoe sizes of 17-year-old males**: Shoe sizes can vary widely among individuals, and it is unlikely that they would follow a normal distribution. Shoe sizes are often skewed towards the larger end, with a few individuals having larger or smaller shoe sizes.

4. **The age at which a child loses his or her first tooth**: The age at which a child loses their first tooth is a random event and can vary widely among individuals. It is unlikely that this event would follow a normal distribution.

Therefore, the situations that you would expect to be approximately normally distributed are:
- The SAT scores of high school seniors
The SAT scores of high school seniors are approximately normally distributed.

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