Given that f(-10) = -0.1 and f(-9.6) = 1.8, approximate f'(-10). f'(-10) ~ ≈ 94

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### Calculating the Approximate Derivative Using Given Values

To approximate the derivative at a given point using nearby function values, we can use the definition of the derivative. Given the function values:

\[ f(-10) = -0.1 \]
\[ f(-9.6) = 1.8 \]

we can approximate the derivative \( f'(-10) \) using the difference quotient formula for the derivative:

\[ f'(x) \approx \frac{f(x+h) - f(x)}{h} \]

In this case:
- \( x = -10 \)
- \( x+h = -9.6 \) so \( h = -9.6 - (-10) = 0.4 \)

Substitute these values into the formula:

\[ f'(-10) \approx \frac{f(-9.6) - f(-10)}{-9.6 - (-10)} = \frac{1.8 - (-0.1)}{0.4} = \frac{1.8 + 0.1}{0.4} = \frac{1.9}{0.4} \approx 4.75 \]

Therefore, the approximate value of \( f'(-10) \) is:

\[ f'(-10) \approx 4.75 \]

To better understand this approximation, it is important to visualize how nearby function values can help us estimate the rate of change or the slope of the tangent to the function at a point. This technique is particularly useful for functions that are not easily differentiable by standard methods, or when we only have discrete data points.

#### Summary:

Given values:
- \( f(-10) = -0.1 \)
- \( f(-9.6) = 1.8 \)

Approximation:
- \( f'(-10) \approx 4.75 \)
Transcribed Image Text:### Calculating the Approximate Derivative Using Given Values To approximate the derivative at a given point using nearby function values, we can use the definition of the derivative. Given the function values: \[ f(-10) = -0.1 \] \[ f(-9.6) = 1.8 \] we can approximate the derivative \( f'(-10) \) using the difference quotient formula for the derivative: \[ f'(x) \approx \frac{f(x+h) - f(x)}{h} \] In this case: - \( x = -10 \) - \( x+h = -9.6 \) so \( h = -9.6 - (-10) = 0.4 \) Substitute these values into the formula: \[ f'(-10) \approx \frac{f(-9.6) - f(-10)}{-9.6 - (-10)} = \frac{1.8 - (-0.1)}{0.4} = \frac{1.8 + 0.1}{0.4} = \frac{1.9}{0.4} \approx 4.75 \] Therefore, the approximate value of \( f'(-10) \) is: \[ f'(-10) \approx 4.75 \] To better understand this approximation, it is important to visualize how nearby function values can help us estimate the rate of change or the slope of the tangent to the function at a point. This technique is particularly useful for functions that are not easily differentiable by standard methods, or when we only have discrete data points. #### Summary: Given values: - \( f(-10) = -0.1 \) - \( f(-9.6) = 1.8 \) Approximation: - \( f'(-10) \approx 4.75 \)
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its not -4.933

### Problem Statement:

Given that \( f(-10) = -0.1 \) and \( f(-9.6) = 1.8 \), approximate \( f'(-10) \).

### Solution:

To approximate the derivative \( f'(-10) \), we can use the difference quotient formula:

\[ f'(-10) \approx \frac{f(-9.6) - f(-10)}{-9.6 - (-10)} \]

Substitute the given values into the formula:

\[ f'(-10) \approx \frac{1.8 - (-0.1)}{-9.6 - (-10)} \]

Simplify the expression:

\[ f'(-10) \approx \frac{1.8 + 0.1}{-9.6 + 10} \]

\[ f'(-10) \approx \frac{1.9}{0.4} \]

\[ f'(-10) \approx 4.75 \]

### Explanation:
The difference quotient method is used to approximate the derivative of a function at a specific point. Here, we have used the values of \( f \) at two nearby points to calculate the approximate slope of the function at \( x = -10 \). This slope provides an estimate for \( f'(-10) \), which in this case is approximately 4.75.
Transcribed Image Text:### Problem Statement: Given that \( f(-10) = -0.1 \) and \( f(-9.6) = 1.8 \), approximate \( f'(-10) \). ### Solution: To approximate the derivative \( f'(-10) \), we can use the difference quotient formula: \[ f'(-10) \approx \frac{f(-9.6) - f(-10)}{-9.6 - (-10)} \] Substitute the given values into the formula: \[ f'(-10) \approx \frac{1.8 - (-0.1)}{-9.6 - (-10)} \] Simplify the expression: \[ f'(-10) \approx \frac{1.8 + 0.1}{-9.6 + 10} \] \[ f'(-10) \approx \frac{1.9}{0.4} \] \[ f'(-10) \approx 4.75 \] ### Explanation: The difference quotient method is used to approximate the derivative of a function at a specific point. Here, we have used the values of \( f \) at two nearby points to calculate the approximate slope of the function at \( x = -10 \). This slope provides an estimate for \( f'(-10) \), which in this case is approximately 4.75.
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