Suppose that the average price for a gallon of gasoline in Texas is $2.23. Assume that a normal distribution applies and that the standard deviation is $0.28 on this paragraph of text, use the correct excel output above to answer the following question. Ten percent of gas prices in Texas are greater than what value (in S/gallon)? Ca. 1.8712 Ob. 1.9609 Cc 2.5888 d. 2.4991 e. None of the answers is correct

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### Probability Distribution Table

#### Normal Distribution Parameters
- **Mean (\( \mu \))**: 2.23
- **Standard Deviation (\( \sigma \))**: 0.28

#### Cumulative Probability Table

| \( x_i \) | \( P(X \leq x_i) \) |
|-----------|--------------------|
| 1.61      | 0.0134             |
| 1.76      | 0.0466             |
| 2.39      | 0.7161             |
| 2.53      | 0.8580             |

#### Inverse Cumulative Probability Table

| \( P(X \leq x_i) \) | \( x_i \)  |
|---------------------|------------|
| 0.10                | 1.8712     |
| 0.20                | 1.9943     |
| 0.40                | 2.1591     |
| 0.60                | 2.3009     |
| 0.80                | 2.4657     |
| 0.90                | 2.5888     |

### Alternate Normal Distribution Parameters
- **Mean (\( \mu \))**: 2.23
- **Standard Deviation (\( \sigma \))**: 0.21

#### Cumulative Probability Table

| \( x_i \) | \( P(X \leq x_i) \) |
|-----------|--------------------|
| 1.61      | 0.0016             |
| 1.76      | 0.0126             |
| 2.39      | 0.7769             |
| 2.53      | 0.9234             |

---

### Instructions
Click "Save and Submit" to save and submit your answers. Click "Save All Answers" to save all answers.
Transcribed Image Text:### Probability Distribution Table #### Normal Distribution Parameters - **Mean (\( \mu \))**: 2.23 - **Standard Deviation (\( \sigma \))**: 0.28 #### Cumulative Probability Table | \( x_i \) | \( P(X \leq x_i) \) | |-----------|--------------------| | 1.61 | 0.0134 | | 1.76 | 0.0466 | | 2.39 | 0.7161 | | 2.53 | 0.8580 | #### Inverse Cumulative Probability Table | \( P(X \leq x_i) \) | \( x_i \) | |---------------------|------------| | 0.10 | 1.8712 | | 0.20 | 1.9943 | | 0.40 | 2.1591 | | 0.60 | 2.3009 | | 0.80 | 2.4657 | | 0.90 | 2.5888 | ### Alternate Normal Distribution Parameters - **Mean (\( \mu \))**: 2.23 - **Standard Deviation (\( \sigma \))**: 0.21 #### Cumulative Probability Table | \( x_i \) | \( P(X \leq x_i) \) | |-----------|--------------------| | 1.61 | 0.0016 | | 1.76 | 0.0126 | | 2.39 | 0.7769 | | 2.53 | 0.9234 | --- ### Instructions Click "Save and Submit" to save and submit your answers. Click "Save All Answers" to save all answers.
**Excel Output Explanation and Problem Solving**

In this exercise, we are tasked with interpreting an Excel output to solve a statistical problem related to gasoline prices in Texas. The data provided represents a normal distribution scenario with specific parameters.

**Excel Data Table:**

1. **Column Variables:**
   - `x` values: Represent the gasoline price in $/gallon.
   - `P(X <= x)`: Represents the cumulative probability associated with each `x` value.

2. **Values:**
   - For `x = 1.61`, `P(X <= x) = 0.0016`
   - For `x = 1.76`, `P(X <= x) = 0.012`
   - For `x = 2.39`, `P(X <= x) = 0.7769`
   - For `x = 2.53`, `P(X <= x) = 0.9234`

**Cumulative Probability Table:**

1. **Values:**
   - At `P(X <= x) = 0.10`, `x = 1.9609`
   - At `P(X <= x) = 0.20`, `x = 2.0538`
   - At `P(X <= x) = 0.40`, `x = 2.1768`
   - At `P(X <= x) = 0.60`, `x = 2.2832`
   - At `P(X <= x) = 0.80`, `x = 2.4067`
   - At `P(X <= x) = 0.90`, `x = 2.4991`

**Problem Set-Up:**

Given:
- The average (mean) price of gasoline in Texas is $2.23.
- Assume a standard normal distribution with a standard deviation of $0.28.

**Question:**
What value of gasoline prices ($/gallon) is greater than 90% of the gas prices in Texas?

**Possible Answers:**
a. $1.8712
b. $1.9609
c. $2.5888
d. $2.4991
e. None of the answers is correct

**Solution:**

Based on the cumulative probability data:
- The prices greater than 90% of the distribution occur at the 10% cumulative level. From
Transcribed Image Text:**Excel Output Explanation and Problem Solving** In this exercise, we are tasked with interpreting an Excel output to solve a statistical problem related to gasoline prices in Texas. The data provided represents a normal distribution scenario with specific parameters. **Excel Data Table:** 1. **Column Variables:** - `x` values: Represent the gasoline price in $/gallon. - `P(X <= x)`: Represents the cumulative probability associated with each `x` value. 2. **Values:** - For `x = 1.61`, `P(X <= x) = 0.0016` - For `x = 1.76`, `P(X <= x) = 0.012` - For `x = 2.39`, `P(X <= x) = 0.7769` - For `x = 2.53`, `P(X <= x) = 0.9234` **Cumulative Probability Table:** 1. **Values:** - At `P(X <= x) = 0.10`, `x = 1.9609` - At `P(X <= x) = 0.20`, `x = 2.0538` - At `P(X <= x) = 0.40`, `x = 2.1768` - At `P(X <= x) = 0.60`, `x = 2.2832` - At `P(X <= x) = 0.80`, `x = 2.4067` - At `P(X <= x) = 0.90`, `x = 2.4991` **Problem Set-Up:** Given: - The average (mean) price of gasoline in Texas is $2.23. - Assume a standard normal distribution with a standard deviation of $0.28. **Question:** What value of gasoline prices ($/gallon) is greater than 90% of the gas prices in Texas? **Possible Answers:** a. $1.8712 b. $1.9609 c. $2.5888 d. $2.4991 e. None of the answers is correct **Solution:** Based on the cumulative probability data: - The prices greater than 90% of the distribution occur at the 10% cumulative level. From
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