
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN: 9780134463216
Author: Robert F. Blitzer
Publisher: PEARSON
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Question
![### Mathematical Expression
The image contains the following mathematical expression:
\[
0.4 - 0.021
\]
Below this, there is a fraction under a square root:
\[
\sqrt{\frac{(0.021)(1 - 0.021)}{250}}
\]
### Explanation
1. **Subtraction**: The top part of the image shows a simple subtraction:
- \(0.4 - 0.021\)
2. **Square Root and Fraction**: Below this, inside a square root, there is a fraction:
- **Numerator**:
\((0.021)(1 - 0.021)\) involves multiplying 0.021 by the result of subtracting 0.021 from 1.
- **Denominator**:
The denominator is 250.
### Educational Context
- **Usage**: This expression could relate to statistical calculations, such as standard error or confidence intervals, where such computations are common.
- **Concepts**: Understanding basic operations and their applications in statistics, such as working with proportions or probabilities, can be a useful skill in interpreting data.](https://content.bartleby.com/qna-images/question/2c6ec32b-373d-4ad9-bdd0-f69950bdf742/95e5e39d-587e-4153-aefc-1ea28515fca3/9abxb59_thumbnail.jpeg)
Transcribed Image Text:### Mathematical Expression
The image contains the following mathematical expression:
\[
0.4 - 0.021
\]
Below this, there is a fraction under a square root:
\[
\sqrt{\frac{(0.021)(1 - 0.021)}{250}}
\]
### Explanation
1. **Subtraction**: The top part of the image shows a simple subtraction:
- \(0.4 - 0.021\)
2. **Square Root and Fraction**: Below this, inside a square root, there is a fraction:
- **Numerator**:
\((0.021)(1 - 0.021)\) involves multiplying 0.021 by the result of subtracting 0.021 from 1.
- **Denominator**:
The denominator is 250.
### Educational Context
- **Usage**: This expression could relate to statistical calculations, such as standard error or confidence intervals, where such computations are common.
- **Concepts**: Understanding basic operations and their applications in statistics, such as working with proportions or probabilities, can be a useful skill in interpreting data.
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