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The image you uploaded contains a table titled **"Median Annual Earnings by Gender"** with data from various years regarding male and female employment and earnings in the U.S., along with some questions or exercises. Here is a summary of what the image shows:

### Table Content
- **Years** listed range from 1948 to 2013.
- For each year, the table includes:
  - **Number of employed males and females** (in millions).
  - **Median earnings** for males and females in U.S. dollars (in 2013 dollars).
  - **Female-to-Male Earnings Ratio** (percentage comparison of female earnings to male earnings).

### Accompanying Instructions or Questions:
1. **Linear function**: You are asked to find the linear function \( f(x) \) that models the number of employed males as a function of the number of years after 1940.
2. **Quadratic function**: Similarly, find the quadratic function \( g(x) \) that models the number of employed females.
3. **Graphing**: The task involves graphing \( f(x) \) and \( g(x) \) to compare male and female employment trends.
4. **Predictions**: When will the number of females employed exceed males, based on the model?
5. **Earnings ratio**: Calculate the female-to-male earnings ratio for each year and graph this over time.
6. **Examine earnings trends**: You are also asked to predict when median female earnings will be equal to male earnings, assuming trends continue, and to discuss factors affecting earnings discrepancies.

Let me know if you'd like help solving any of these exercises, graphing functions, or analyzing trends!

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Would you like detailed help with:
1. Finding the linear and quadratic models?
2. Graphing the employment data?
3. Calculating and graphing the earnings ratio?
4. Discussing trends in female-to-male earnings?
5. Understanding how gender discrimination might influence these earnings differences?

**Tip**: When building models from real-world data, always assess how well the model fits by checking its residuals or using statistical methods like the coefficient of determination \( R^2 \).

The table gives the numbers of male and female employees in the United States and the median earnings (in 2013 dollars) for persons age 15 and over for selected years from 1940 through 2013. The tasks involve finding linear and quadratic models for employment numbers, graphing these models, calculating female-to-male earnings ratios, and predicting trends.

Learn how to model U.S. male and female employment trends using linear and quadratic functions. This includes calculating the female-to-male earnings ratio and predicting when female earnings may equal male earnings, based on historical data from 1940 to 2013. Suitable for high school students in Grades 10-12.

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