(a) Consider a t distribution with 30 degrees of freedom. Compute P(-1.46

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### Statistical Problem Set

#### Problem 1: t Distribution and Degrees of Freedom

**(a)** Consider a **t distribution** with **30 degrees of freedom**. Compute \( P( -1.46 < t < 1.46 ) \). Round your answer to at least three decimal places.

\[ P( -1.46 < t < 1.46 ) = \boxed{} \]

**(b)** Consider a **t distribution** with **28 degrees of freedom**. Find the value of \( c \) such that \( P( t \geq c ) = 0.10 \). Round your answer to at least three decimal places.

\[ c = \boxed{} \]

### Explanation:
- **t Distribution**: Also known as Student's t-distribution, it is defined by the degrees of freedom. It is used especially when the sample size is small and the population standard deviation is unknown.
- **Degrees of Freedom**: Typically denoted as \( \text{df} \), this is the number of values in the final calculation of a statistic that are free to vary.

In this problem, you are provided specific values for degrees of freedom and are required to find probabilities and critical values associated with the t distribution.

### Diagrams
While the text lacks actual diagrams, we can conceptualize the following:

1. **Graph for Part (a)**:
   - It would depict a standard t-distribution curve with 30 degrees of freedom.
   - The region between -1.46 and 1.46 under the curve would be highlighted to show the range for which the probability is being computed.

2. **Graph for Part (b)**:
   - It would depict a t-distribution curve with 28 degrees of freedom.
   - The area to the right of the value \( c \) would be shaded to indicate that \( P( t \geq c ) \) corresponds to 0.10 or 10%.

### Important Notes
- Knowing how to use t-tables or statistical software can be crucial in solving these problems.
- The results are typically more accurate when computed using these tools, as they provide exact values for the given degrees of freedom.
Transcribed Image Text:### Statistical Problem Set #### Problem 1: t Distribution and Degrees of Freedom **(a)** Consider a **t distribution** with **30 degrees of freedom**. Compute \( P( -1.46 < t < 1.46 ) \). Round your answer to at least three decimal places. \[ P( -1.46 < t < 1.46 ) = \boxed{} \] **(b)** Consider a **t distribution** with **28 degrees of freedom**. Find the value of \( c \) such that \( P( t \geq c ) = 0.10 \). Round your answer to at least three decimal places. \[ c = \boxed{} \] ### Explanation: - **t Distribution**: Also known as Student's t-distribution, it is defined by the degrees of freedom. It is used especially when the sample size is small and the population standard deviation is unknown. - **Degrees of Freedom**: Typically denoted as \( \text{df} \), this is the number of values in the final calculation of a statistic that are free to vary. In this problem, you are provided specific values for degrees of freedom and are required to find probabilities and critical values associated with the t distribution. ### Diagrams While the text lacks actual diagrams, we can conceptualize the following: 1. **Graph for Part (a)**: - It would depict a standard t-distribution curve with 30 degrees of freedom. - The region between -1.46 and 1.46 under the curve would be highlighted to show the range for which the probability is being computed. 2. **Graph for Part (b)**: - It would depict a t-distribution curve with 28 degrees of freedom. - The area to the right of the value \( c \) would be shaded to indicate that \( P( t \geq c ) \) corresponds to 0.10 or 10%. ### Important Notes - Knowing how to use t-tables or statistical software can be crucial in solving these problems. - The results are typically more accurate when computed using these tools, as they provide exact values for the given degrees of freedom.
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