Consider the probability distribution shown here. Complete parts a through c. - 4 - 3 0.07 - 1 0.14 -2 1 3 4 p(x) 0.02 0.09 0.31 0.17 0.11 0.06 0.03 a. Calculate µ, o, and o. (Round to two decimal places as needed.) o2 = (Round to four decimal places as needed.) (Round to three decimal places as needed.) b. Graph p(x). Locate µ, µ- 20, and u + 20. Choose the correct graph below. O A. О В. OC. Ap(x) 0.4- Ap(x) 0.4- Ap(x) 0.4- 0.2- 0.2- 0.2- 0- 0+ -4 H- 26 μμ + 2σ H- 26 H+ 26 H- 26 u u + 20 c. What is the probability that x is in the interval p± 20? (Round to two decimal places as needed.) Click to select your answer(s).
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.
Consider the probability distribution shown here. Complete parts a through
![### Probability Distribution Analysis
Consider the probability distribution shown below. Complete parts a through c.
#### Probability Distribution Table
| x | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 |
|----|------|------|------|------|------|------|------|------|------|
| p(x) | 0.02 | 0.07 | 0.09 | 0.14 | 0.31 | 0.17 | 0.11 | 0.06 | 0.03 |
#### Part A: Calculate μ, σ², and σ
1. **Mean (μ):** The mean is the expected value of the distribution.
2. **Variance (σ²):** The variance measures the dispersion of the distribution.
3. **Standard Deviation (σ):** The standard deviation is the square root of the variance.
\[ \mu = \]
*(Round to two decimal places as needed.)*
\[ \sigma^2 = \]
*(Round to four decimal places as needed.)*
\[ \sigma = \]
*(Round to three decimal places as needed.)*
#### Part B: Graph p(x)
Graph p(x). Locate μ, μ - 2σ, and μ + 2σ. Choose the correct graph below.
- **Graph A:**
![Graph A](attached image)
- **Graph B:**
![Graph B](attached image)
- **Graph C:**
![Graph C](attached image)
#### Part C: Probability in Interval [μ - 2σ, μ + 2σ]
What is the probability that x is in the interval [μ ± 2σ]?
\[ P(μ - 2σ \leq x \leq μ + 2σ) = \]
*(Round to two decimal places as needed.)*
### Instructions for Students
1. **Calculate the Mean (μ):** Use the probability distribution values to determine the expected value.
2. **Calculate the Variance (σ²):** Use the expected value to find the dispersion.
3. **Calculate Standard Deviation (σ):** Take the square root of the variance.
4. **Plot the Distribution:** Identify the correct graph that represents the probability distribution with marked mean and intervals.
5. **Determine the Probability within](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4d6ce828-7421-4579-a347-7b809a44673d%2F65c1f21c-a5da-4a37-90df-94ca3fd005c7%2Fcqjfd5d_processed.png&w=3840&q=75)
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