X = X Sx = 5. The t-formula: t = 4. Standard deviation for samples: Σ (x-x)² n-1 6. The t-table. Group 1 तून (x − x) x1-x2 n1 Sum of Squares for two groups NNN (x − x)² Σ x = X Group 2 (x − x) (x - x)² Σ

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Project Instructions:

  1. Collect the Data
    • Survey two different groups of 15 people each. (30 total, 18 years of age or older).
    • Ask one question that requires a numeric answer (interval or ratio).
  2. Analyze the Data
    • Conduct a t-test: Calculate the mean and standard deviation of both groups, and t.
    • Compare t and the critical value to determine significance.
    • Round decimals to two places past the decimal as they occur.
### Sum of Squares for Two Groups: Table Structure

The table is designed to help calculate the sum of squares for two groups, which is a crucial part of variance and standard deviation calculations in statistics. Here's how the table is structured:

#### Group 1
- **Columns:**
  - \( x \): Raw data of Group 1.
  - \( (x - \bar{x}) \): Deviations from the mean for each data point in Group 1.
  - \( (x - \bar{x})^2 \): Squared deviations from the mean for Group 1.

#### Group 2
- **Columns:**
  - \( x \): Raw data of Group 2.
  - \( (x - \bar{x}) \): Deviations from the mean for each data point in Group 2.
  - \( (x - \bar{x})^2 \): Squared deviations from the mean for Group 2.

#### Summary Row
- This row is for summarizing the calculations:
  - \( \bar{x} \): Mean of each group.
  - \( \Sigma \): Sum of squared deviations for each group.

### Standard Deviation for Samples

The formula for the standard deviation (\( s_x \)) of samples is given by:

\[
s_x = \sqrt{\frac{\Sigma (x - \bar{x})^2}{n-1}}
\]

Where:
- \( \Sigma (x - \bar{x})^2 \) is the sum of squared deviations from the mean.
- \( n \) is the number of samples.

### t-Formula

The formula for calculating the t-statistic is shown as:

\[
t = \frac{\bar{x}_1 - \bar{x}_2}{\sqrt{\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2}}}
\]

Where:
- \( \bar{x}_1 \) and \( \bar{x}_2 \) are the means of Group 1 and Group 2 respectively.
- \( s_1^2 \) and \( s_2^2 \) are the variances of Group 1 and Group 2 respectively.
- \( n_1 \) and \( n_2 \) are the number of observations in Group 1 and Group 2.

### t-Table
A reference link is provided to access the t
Transcribed Image Text:### Sum of Squares for Two Groups: Table Structure The table is designed to help calculate the sum of squares for two groups, which is a crucial part of variance and standard deviation calculations in statistics. Here's how the table is structured: #### Group 1 - **Columns:** - \( x \): Raw data of Group 1. - \( (x - \bar{x}) \): Deviations from the mean for each data point in Group 1. - \( (x - \bar{x})^2 \): Squared deviations from the mean for Group 1. #### Group 2 - **Columns:** - \( x \): Raw data of Group 2. - \( (x - \bar{x}) \): Deviations from the mean for each data point in Group 2. - \( (x - \bar{x})^2 \): Squared deviations from the mean for Group 2. #### Summary Row - This row is for summarizing the calculations: - \( \bar{x} \): Mean of each group. - \( \Sigma \): Sum of squared deviations for each group. ### Standard Deviation for Samples The formula for the standard deviation (\( s_x \)) of samples is given by: \[ s_x = \sqrt{\frac{\Sigma (x - \bar{x})^2}{n-1}} \] Where: - \( \Sigma (x - \bar{x})^2 \) is the sum of squared deviations from the mean. - \( n \) is the number of samples. ### t-Formula The formula for calculating the t-statistic is shown as: \[ t = \frac{\bar{x}_1 - \bar{x}_2}{\sqrt{\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2}}} \] Where: - \( \bar{x}_1 \) and \( \bar{x}_2 \) are the means of Group 1 and Group 2 respectively. - \( s_1^2 \) and \( s_2^2 \) are the variances of Group 1 and Group 2 respectively. - \( n_1 \) and \( n_2 \) are the number of observations in Group 1 and Group 2. ### t-Table A reference link is provided to access the t
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