- Math10, section 272, Fall 2020 | WebAssign 4.3 Binomial Distribution - Introductory Statistics - Op. Files According to a study done by De Anza students, the height for Asian adult males is normally distributed with an average of 66 inches and a standard deviation of 2.5 inches. Suppose one Asian adult male is randomly chosen. Let X = height of the individual. %3D
- Math10, section 272, Fall 2020 | WebAssign 4.3 Binomial Distribution - Introductory Statistics - Op. Files According to a study done by De Anza students, the height for Asian adult males is normally distributed with an average of 66 inches and a standard deviation of 2.5 inches. Suppose one Asian adult male is randomly chosen. Let X = height of the individual. %3D
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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![### Normal Distribution of Heights
According to a study conducted by De Anza students, the height for Asian adult males is normally distributed with an average (mean) of 66 inches and a standard deviation of 2.5 inches. We consider the scenario where one Asian adult male is randomly chosen, and let \( X \) represent the height of this individual.
#### Statistical Problem
**Task:** Determine the middle 40% of heights, expressed as a range between two values.
1. **Write the Probability Statement:**
\[
P(x_1 < X < x_2) = 0.40
\]
*Current incorrect entry: \( P(x_1 < X < x_2) = 64.64 \)*
2. **State the Two Values (rounded to one decimal place):**
- \( x_1 = 70 \) (Incorrect)
- \( x_2 = 30 \) (Incorrect)
3. **Sketch the Graph:**
The graph depicted illustrates the normal distribution curve for the given scenario. Although the graph is not fully labeled with correct values, it represents the distribution with a bell-shaped curve. The \( x \)-axis represents the height in inches and has data points between 55 and 75 inches. Two normal distribution curves are presented, likely for comparing actual and estimated or experimental results.
#### Conclusion
The task invites the student to correctly identify the range of values for \( x_1 \) and \( x_2 \) that encapsulate the middle 40% based on the normal distribution. The given values and probability statement need adjustments to achieve accurate outcomes based on the provided statistical parameters.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4f59e9d0-d046-4bcb-9ad0-9c9da88759e9%2F737d631c-133e-43cf-a3ed-a0d3ad2ab2df%2Faz40cm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Normal Distribution of Heights
According to a study conducted by De Anza students, the height for Asian adult males is normally distributed with an average (mean) of 66 inches and a standard deviation of 2.5 inches. We consider the scenario where one Asian adult male is randomly chosen, and let \( X \) represent the height of this individual.
#### Statistical Problem
**Task:** Determine the middle 40% of heights, expressed as a range between two values.
1. **Write the Probability Statement:**
\[
P(x_1 < X < x_2) = 0.40
\]
*Current incorrect entry: \( P(x_1 < X < x_2) = 64.64 \)*
2. **State the Two Values (rounded to one decimal place):**
- \( x_1 = 70 \) (Incorrect)
- \( x_2 = 30 \) (Incorrect)
3. **Sketch the Graph:**
The graph depicted illustrates the normal distribution curve for the given scenario. Although the graph is not fully labeled with correct values, it represents the distribution with a bell-shaped curve. The \( x \)-axis represents the height in inches and has data points between 55 and 75 inches. Two normal distribution curves are presented, likely for comparing actual and estimated or experimental results.
#### Conclusion
The task invites the student to correctly identify the range of values for \( x_1 \) and \( x_2 \) that encapsulate the middle 40% based on the normal distribution. The given values and probability statement need adjustments to achieve accurate outcomes based on the provided statistical parameters.

Transcribed Image Text:**Educational Content: Understanding Binomial Distributions**
**Problem Statement:**
State the two values. (Round your answers to one decimal place.)
- \( x_1 = 70 \) (Incorrect)
- \( x_2 = 30 \) (Incorrect)
**Instructions:**
Sketch the graph.
**Graph Explanation:**
The image displays a set of four graphs depicting a binomial distribution:
1. **First Graph (Top Left):**
- A bell-shaped curve is centered around a mean close to 70.
- The x-axis ranges from 55 to 75.
- The curve peaks around the middle of the x-axis, suggesting a symmetrical distribution.
2. **Second Graph (Top Right):**
- Similar to the first graph, it shows another bell-shaped curve.
- The peak also appears centered, aligning around the midpoint of the x-axis.
- The x-axis is the same, ranging from 55 to 75.
3. **Third Graph (Bottom Left):**
- A mirror image of the previous graphs with identical shape and axis.
- It indicates similar symmetry and distribution around the peak.
4. **Fourth Graph (Bottom Right):**
- The curve maintains the same structure as the other graphs.
- Again, it seems to be centered around the mean of the x-axis.
**Note:** Red crosses indicate incorrect solutions for the given \( x_1 \) and \( x_2 \) values. It's important to evaluate the proper values and recalculate if necessary to fit the binomial distribution context.
**Additional Resources:**
For more information on interpreting binomial distributions and their applications in introductory statistics, refer to the additional materials section.
---
This content is aimed to provide an introductory understanding of binomial distributions, particularly focusing on the symmetry and structure of bell curves representing probabilistic outcomes.
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