Testing: Ho: µ = 34.2 H1:µ < 34.2 Your sample consists of 24 subjects, with a mean of 33.2 and standard deviation of 4.65. Calculate the test statistic, rounded to 2 decimal places. t =

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### Hypothesis Testing

#### Null and Alternative Hypothesis:
- \( H_0: \mu = 34.2 \)
- \( H_1: \mu < 34.2 \)

#### Sample Information:
- Number of subjects: 24
- Sample mean (\( \bar{x} \)): 33.2
- Sample standard deviation (\( s \)): 4.65

#### Task:
Calculate the test statistic (\( t \)), rounded to two decimal places.

#### Solution:
To calculate the test statistic for a one-sample t-test, use the formula:

\[
t = \frac{\bar{x} - \mu_0}{s / \sqrt{n}}
\]

Where:
- \( \bar{x} \) is the sample mean
- \( \mu_0 \) is the population mean under the null hypothesis
- \( s \) is the sample standard deviation
- \( n \) is the sample size

Plug in the given values to find the test statistic.
Transcribed Image Text:### Hypothesis Testing #### Null and Alternative Hypothesis: - \( H_0: \mu = 34.2 \) - \( H_1: \mu < 34.2 \) #### Sample Information: - Number of subjects: 24 - Sample mean (\( \bar{x} \)): 33.2 - Sample standard deviation (\( s \)): 4.65 #### Task: Calculate the test statistic (\( t \)), rounded to two decimal places. #### Solution: To calculate the test statistic for a one-sample t-test, use the formula: \[ t = \frac{\bar{x} - \mu_0}{s / \sqrt{n}} \] Where: - \( \bar{x} \) is the sample mean - \( \mu_0 \) is the population mean under the null hypothesis - \( s \) is the sample standard deviation - \( n \) is the sample size Plug in the given values to find the test statistic.
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