Let, x, represent the number of guests interested in gaining experiences of local cuisine tastings/tours. Find the mean and standard deviation of x. What is the probability that x <=10? Find the probability that x > 12.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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ALICE and YouGov conducted an online poll among Americans hotel guests of more than 18 years old to understand their expectations from hotels in the year 2018-191. This poll showed that 40% of guests were interested in gaining experiences of local cuisine tastings/tours. Suppose you take a random sample of 15 hotel guests.

Let, x, represent the number of guests interested in gaining experiences of local cuisine tastings/tours.

  1. Find the mean and standard deviation of x.
  2. What is the probability that x <=10?
  3. Find the probability that x > 12.
  4. Find the probability that x = 11.
**Binomial Distribution Calculation**

| Description                                    | Symbol | Value |
|------------------------------------------------|--------|-------|
| Number of trials                               | n      | 4     |
| Number of successes                            | x      | 4     |
| Probability of success in a single trial       | p      | 0.66  |
| Probability of failure                         | q      | 0.34  |
| **Probability**                                |        | 0.190 |
| **Mean**                                       |        | 2.64  |
| **Variance**                                   |        | 0.90  |
| **Standard Deviation**                         |        | 0.95  |

This table provides the calculation details for a binomial distribution:

- **Number of trials (n):** The total number of experiments conducted, which is 4.
- **Number of successes (x):** The count of desired outcomes, also 4.
- **Probability of success in a single trial (p):** Set at 0.66.
- **Probability of failure (q):** Calculated as 1 - p, which is 0.34.

Key values calculated from the binomial distribution include:

- **Probability:** The likelihood of achieving exactly 4 successes in 4 trials is 0.190.
- **Mean:** The average expected successes in the trials is 2.64.
- **Variance:** The measure of the spread is 0.90.
- **Standard Deviation:** The square root of the variance, indicating dispersion, is 0.95.
Transcribed Image Text:**Binomial Distribution Calculation** | Description | Symbol | Value | |------------------------------------------------|--------|-------| | Number of trials | n | 4 | | Number of successes | x | 4 | | Probability of success in a single trial | p | 0.66 | | Probability of failure | q | 0.34 | | **Probability** | | 0.190 | | **Mean** | | 2.64 | | **Variance** | | 0.90 | | **Standard Deviation** | | 0.95 | This table provides the calculation details for a binomial distribution: - **Number of trials (n):** The total number of experiments conducted, which is 4. - **Number of successes (x):** The count of desired outcomes, also 4. - **Probability of success in a single trial (p):** Set at 0.66. - **Probability of failure (q):** Calculated as 1 - p, which is 0.34. Key values calculated from the binomial distribution include: - **Probability:** The likelihood of achieving exactly 4 successes in 4 trials is 0.190. - **Mean:** The average expected successes in the trials is 2.64. - **Variance:** The measure of the spread is 0.90. - **Standard Deviation:** The square root of the variance, indicating dispersion, is 0.95.
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