https://file.aiquickdraw.com/mathbot/file/1725332110733ugmwgn3w.pdf

Let's go through the problems one by one and solve them in detail.

### Problem 1: Finding \( h'(1) \)

Given:
\[ h(x) = f(2x) (g(x))^2 \]
where:
- \( f(x) \) is a function such that \( f(1) = 3 \).
- The graph of \( f'(x) \) is provided.
- \( g(x) \) and \( g'(x) \) values are:
  - \( g(0) = 10, \, g(1) = 35, \, g(2) = 30 \)
  - \( g'(0) = 5, \, g'(1) = -2, \, g'(2) = 2 \)

To find \( h'(1) \), we will use the product rule and the chain rule:

\[
h(x) = f(2x) (g(x))^2
\]

Taking the derivative using the product rule:

\[
h'(x) = f'(2x) \cdot 2(g(x))^2 + f(2x) \cdot 2g(x)g'(x)
\]

To find \( h'(1) \):

1. \( h'(1) = f'(2 \cdot 1) \cdot 2(g(1))^2 + f(2) \cdot 2g(1)g'(1) \)
2. \( h'(1) = 2f'(2)(35)^2 + f(2) \cdot 2 \cdot 35 \cdot (-2) \)

We need \( f'(2) \) and \( f(2) \). We look at the graph for \( f'(x) \) to find \( f'(2) \), and since \( f(1) = 3 \), \( f(2) \) can be obtained from additional context or graphical data provided.

Let's substitute the known values and compute:

3. Calculate \( h'(1) \) using the specific values for \( f'(2) \) and \( f(2) \) after inspecting the graph and provided function values.

### Problem 2: Continuous Random Variable \( X \)

Given a continuous random variable \( X \) with a probability density function (pdf) defined graphically, we are to:

(a) **Calculate \( Pr(4 < X < 6) \):**

The probability can be calculated by integrating the pdf over the interval \( [4, 6] \):

\[
Pr(4 < X < 6) = \int_{4}^{6} f(x) \, dx
\]

(b) **Calculate \( E[X] \):**

The expected value \( E[X] \) is:

\[
E[X] = \int_{-\infty}^{\infty} x f(x) \, dx
\]

Since the pdf is zero outside the interval defined by the graph, we only need to integrate over the non-zero regions.

(c) **Calculate \( \text{Var}(X) \):**

The variance \( \text{Var}(X) \) is:

\[
\text{Var}(X) = E[X^2] - (E[X])^2
\]

where:

\[
E[X^2] = \int_{-\infty}^{\infty} x^2 f(x) \, dx
\]

### Problem 3: Maclaurin Series for \( k(x) \)

Given:
\[ k(x) = x \log(1 + 2x)e^{-x^2} \]

(a) **Find the degree 5 Maclaurin polynomial for \( k(x) \):**

Use the Maclaurin series for \( e^x \) and \( \log(1 + x) \) to expand:

\[
e^{-x^2} = \sum_{n=0}^{\infty} \frac{(-x^2)^n}{n!}, \quad \log(1 + 2x) = \sum_{n=1}^{\infty} \frac{(-1)^{n+1} (2x)^n}{n}
\]

Multiply these and truncate terms beyond degree 5.

(b) **Deducing \( k^{(5)}(0) \):**

Observe the coefficients of \( x^5 \) in the Maclaurin expansion to find \( k^{(5)}(0) \).

(c) **Finding \( \lim_{x \to 0} \frac{k(x) - 2x^2}{x^3} \):**

Use the series expansion to compute the limit.

### Problem 4: Complete Jupyter Notebook

This question requires a different environment to execute and is beyond our immediate scope here.

---

Would you like detailed steps for each problem, or do you have any specific questions about one of the problems above?

### 5 Relative Questions to Consider:
1. How do you interpret the derivative graph to find \( f'(x) \) values?
2. What are the key properties of probability density functions that are helpful in solving (b) and (c) of Problem 2?
3. How does the Maclaurin series help in approximating functions?
4. What methods are useful for integrating products of functions in continuous probability distributions?
5. How can limits involving polynomial and exponential terms be simplified using series?

### Tip:
When solving problems involving functions and derivatives, always carefully apply chain and product rules to ensure accuracy in differentiation.

Explore detailed solutions to mathematical problems involving differentiation, probability distributions, and Maclaurin series. Includes step-by-step guides and applications of key formulas such as the product rule and integral calculus. Suitable for college-level mathematics enthusiasts.

Math Problem Statement

Solution

Ask a new question for Free

By Image

Math Problem Analysis

Mathematical Concepts

Formulas

Theorems

Suitable Grade Level

Related Recommendation