p(1.28
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Finding Probability for the Standard Normal Distribution
To find the probability of \( p(1.28 < z < 2.28) \) for the standard normal distribution, we consult the cumulative standard normal distribution table (Table E).
**Step-by-Step Guide:**
1. **Locate the cumulative probability for \( z = 1.28 \):**
- Navigate through the rows of the table to find the value at 1.2.
- Move horizontally to the column under 0.08. The intersection gives us the cumulative probability.
**Result:**
\( P(Z \leq 1.28) = 0.8997 \)
2. **Locate the cumulative probability for \( z = 2.28 \):**
- Again, find the row for 2.2.
- Move horizontally to the column under 0.08.
**Result:**
\( P(Z \leq 2.28) = 0.9887 \)
3. **Calculate the desired probability:**
- Subtract the cumulative probability at \( z = 1.28 \) from the cumulative probability at \( z = 2.28 \).
**Calculation:**
\( P(1.28 < Z < 2.28) = P(Z \leq 2.28) - P(Z \leq 1.28) \)
\( P(1.28 < Z < 2.28) = 0.9887 - 0.8997 = 0.0890 \)
**Answer:**
\[ p(1.28 < z < 2.28) = 0.0890 \]
### Explanation of the Standard Normal Distribution Table:
The table provided displays values for the cumulative standard normal distribution. The values indicate the probability that a standard normal variable (z) will have a value less than or equal to a given z-score. The table is structured as follows:
- **Row labels (first column):** Represent the integer and first decimal place of the z-score.
- **Column labels:** Represent the second decimal place of the z-score.
- **Cell values:** Indicate the cumulative probability up to that z-score.
For example:
- **Intersection of row 1.2 and column 0.08:** Indicates the cumulative probability for \( z = 1.28 \).
- **Intersection of row 2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcfef55d1-e74e-4acc-a65e-b6e34bf1c85d%2F159a6a70-b40d-491c-bfb5-cf7f38a2864e%2Fi6exixt_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Finding Probability for the Standard Normal Distribution
To find the probability of \( p(1.28 < z < 2.28) \) for the standard normal distribution, we consult the cumulative standard normal distribution table (Table E).
**Step-by-Step Guide:**
1. **Locate the cumulative probability for \( z = 1.28 \):**
- Navigate through the rows of the table to find the value at 1.2.
- Move horizontally to the column under 0.08. The intersection gives us the cumulative probability.
**Result:**
\( P(Z \leq 1.28) = 0.8997 \)
2. **Locate the cumulative probability for \( z = 2.28 \):**
- Again, find the row for 2.2.
- Move horizontally to the column under 0.08.
**Result:**
\( P(Z \leq 2.28) = 0.9887 \)
3. **Calculate the desired probability:**
- Subtract the cumulative probability at \( z = 1.28 \) from the cumulative probability at \( z = 2.28 \).
**Calculation:**
\( P(1.28 < Z < 2.28) = P(Z \leq 2.28) - P(Z \leq 1.28) \)
\( P(1.28 < Z < 2.28) = 0.9887 - 0.8997 = 0.0890 \)
**Answer:**
\[ p(1.28 < z < 2.28) = 0.0890 \]
### Explanation of the Standard Normal Distribution Table:
The table provided displays values for the cumulative standard normal distribution. The values indicate the probability that a standard normal variable (z) will have a value less than or equal to a given z-score. The table is structured as follows:
- **Row labels (first column):** Represent the integer and first decimal place of the z-score.
- **Column labels:** Represent the second decimal place of the z-score.
- **Cell values:** Indicate the cumulative probability up to that z-score.
For example:
- **Intersection of row 1.2 and column 0.08:** Indicates the cumulative probability for \( z = 1.28 \).
- **Intersection of row 2

Transcribed Image Text:**Quiz Question Options:**
The following are the possible answers for the quiz question:
- ( ) 1.0000
- ( ) -1.0000
- ( ) 0.0890
- ( ) 0.9887
Please select the correct answer by clicking on the corresponding radio button.
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