valuate the following formula for x₁ = 28.4215, x₂ = 26.0486, H₁-H2=0, Sp = 40.93, n₁ = 50, and n₂ = 47. (x₁-x₂)-(H1-H₂) 2 Р n₁ + 2 Р n₂ (Round to two decimal places as needed.) ...

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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## Example T-Test Calculation:

Evaluate the following formula with the given values:
- \( x_1 = 28.4215 \)
- \( x_2 = 26.0486 \)
- \( \mu_1 - \mu_2 = 0 \)
- \( s_p = 40.93 \)
- \( n_1 = 50 \)
- \( n_2 = 47 \)

The formula to evaluate is:

\[ 
t = \frac{(x_1 - x_2) - (\mu_1 - \mu_2)}{s_p \sqrt{\frac{1}{n_1} + \frac{1}{n_2}}} 
\]

### Explanation:

In this formula:
- \( x_1 \) and \( x_2 \) are sample means.
- \( \mu_1 \) and \( \mu_2 \) are population means.
- \( s_p \) is the pooled standard deviation.
- \( n_1 \) and \( n_2 \) are the sample sizes.

### Calculation Steps:

1. Subtract \( x_2 \) from \( x_1 \):
\[ x_1 - x_2 = 28.4215 - 26.0486 = 2.3729 \]

2. Subtract the population mean difference from the result:
\[ (x_1 - x_2) - (\mu_1 - \mu_2) = 2.3729 - 0 = 2.3729 \]

3. Calculate the squared term for the sample sizes:
\[ \frac{1}{n_1} + \frac{1}{n_2} = \frac{1}{50} + \frac{1}{47} \approx 0.0206 + 0.0213 = 0.0419 \]

4. Calculate the square root of the sum:
\[ \sqrt{\frac{1}{n_1} + \frac{1}{n_2}} = \sqrt{0.0419} \approx 0.2047 \]

5. Multiply the pooled standard deviation by the result:
\[ s_p \times \sqrt{\frac{1}{n_1} + \frac{1}{n_2}} = 40.93 \times 0.2047 \approx 8.38 \]

6
Transcribed Image Text:## Example T-Test Calculation: Evaluate the following formula with the given values: - \( x_1 = 28.4215 \) - \( x_2 = 26.0486 \) - \( \mu_1 - \mu_2 = 0 \) - \( s_p = 40.93 \) - \( n_1 = 50 \) - \( n_2 = 47 \) The formula to evaluate is: \[ t = \frac{(x_1 - x_2) - (\mu_1 - \mu_2)}{s_p \sqrt{\frac{1}{n_1} + \frac{1}{n_2}}} \] ### Explanation: In this formula: - \( x_1 \) and \( x_2 \) are sample means. - \( \mu_1 \) and \( \mu_2 \) are population means. - \( s_p \) is the pooled standard deviation. - \( n_1 \) and \( n_2 \) are the sample sizes. ### Calculation Steps: 1. Subtract \( x_2 \) from \( x_1 \): \[ x_1 - x_2 = 28.4215 - 26.0486 = 2.3729 \] 2. Subtract the population mean difference from the result: \[ (x_1 - x_2) - (\mu_1 - \mu_2) = 2.3729 - 0 = 2.3729 \] 3. Calculate the squared term for the sample sizes: \[ \frac{1}{n_1} + \frac{1}{n_2} = \frac{1}{50} + \frac{1}{47} \approx 0.0206 + 0.0213 = 0.0419 \] 4. Calculate the square root of the sum: \[ \sqrt{\frac{1}{n_1} + \frac{1}{n_2}} = \sqrt{0.0419} \approx 0.2047 \] 5. Multiply the pooled standard deviation by the result: \[ s_p \times \sqrt{\frac{1}{n_1} + \frac{1}{n_2}} = 40.93 \times 0.2047 \approx 8.38 \] 6
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