Use n=6 and p = 0.7 to complete parts (a) through (d) below. (a) Construct a binomial probability distribution with the given parameters. P(x) 0 1 2 3 4 5 6 (Round to four decimal places as needed.) (b) Compute the mean and standard deviation of the random variable using Hx= [x P(x)] and 6x = √[x² • P(x)]- µ² Hx = (Round to two decimal places as needed.) σx = (Round to two decimal places as needed.) Hx= x = ■ (c) Compute the mean and standard deviation, using μx = np and ox=√/np(1-p). (Round to two decimal places as needed.) (Round to two decimal places as needed.) || (d) Draw a graph of the probability distribution and comment on its shape. Which graph below shows the probability distribution? OA. 0.5- AP(x) 0.25- Q The binomial probability distribution is ▼ OB. APX) 0.5 0.25- Q O C. APX) 0.5- 0.25- Q O D. 0.5 APX) 0.25-1

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**Educational Content: Binomial Probability Distribution**

Use \( n = 6 \) and \( p = 0.7 \) to complete parts (a) through (d) below.

---

**(a) Construct a binomial probability distribution with the given parameters.**

\[
\begin{array}{|c|c|}
\hline
x & P(x) \\
\hline
0 & \text{ } \\
1 & \text{ } \\
2 & \text{ } \\
3 & \text{ } \\
4 & \text{ } \\
5 & \text{ } \\
6 & \text{ } \\
\hline
\end{array}
\]

*(Round to four decimal places as needed.)*

---

**(b) Compute the mean and standard deviation of the random variable using** 

\[
\mu_X = \sum [x \cdot P(x)] \quad \text{and} \quad \sigma_X = \sqrt{\sum [x^2 \cdot P(x)] - \mu_X^2}
\]

- \( \mu_X = \) ____ (Round to two decimal places as needed.)
- \( \sigma_X = \) ____ (Round to two decimal places as needed.)

---

**(c) Compute the mean and standard deviation, using**

\[
\mu_X = np \quad \text{and} \quad \sigma_X = \sqrt{np(1-p)}
\]

- \( \mu_X = \) ____ (Round to two decimal places as needed.)
- \( \sigma_X = \) ____ (Round to two decimal places as needed.)

---

**(d) Draw a graph of the probability distribution and comment on its shape.**

**Which graph below shows the probability distribution?**

- **Option A:** A graph with a right-skewed distribution.
- **Option B:** A graph with a peak at \( x = 4 \), symmetrically decreasing.
- **Option C:** A graph with a peak at \( x = 3 \), symmetrically decreasing.
- **Option D:** A graph with a left-skewed distribution.

The binomial probability distribution is [Select: Option A, B, C, D]. 

*(Based on discussing which graph most accurately portrays the computed probabilities with \( n = 6 \) and \( p = 0.7 \).
Transcribed Image Text:**Educational Content: Binomial Probability Distribution** Use \( n = 6 \) and \( p = 0.7 \) to complete parts (a) through (d) below. --- **(a) Construct a binomial probability distribution with the given parameters.** \[ \begin{array}{|c|c|} \hline x & P(x) \\ \hline 0 & \text{ } \\ 1 & \text{ } \\ 2 & \text{ } \\ 3 & \text{ } \\ 4 & \text{ } \\ 5 & \text{ } \\ 6 & \text{ } \\ \hline \end{array} \] *(Round to four decimal places as needed.)* --- **(b) Compute the mean and standard deviation of the random variable using** \[ \mu_X = \sum [x \cdot P(x)] \quad \text{and} \quad \sigma_X = \sqrt{\sum [x^2 \cdot P(x)] - \mu_X^2} \] - \( \mu_X = \) ____ (Round to two decimal places as needed.) - \( \sigma_X = \) ____ (Round to two decimal places as needed.) --- **(c) Compute the mean and standard deviation, using** \[ \mu_X = np \quad \text{and} \quad \sigma_X = \sqrt{np(1-p)} \] - \( \mu_X = \) ____ (Round to two decimal places as needed.) - \( \sigma_X = \) ____ (Round to two decimal places as needed.) --- **(d) Draw a graph of the probability distribution and comment on its shape.** **Which graph below shows the probability distribution?** - **Option A:** A graph with a right-skewed distribution. - **Option B:** A graph with a peak at \( x = 4 \), symmetrically decreasing. - **Option C:** A graph with a peak at \( x = 3 \), symmetrically decreasing. - **Option D:** A graph with a left-skewed distribution. The binomial probability distribution is [Select: Option A, B, C, D]. *(Based on discussing which graph most accurately portrays the computed probabilities with \( n = 6 \) and \( p = 0.7 \).
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