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
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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Project Instructions:
- 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).
- 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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbabaf4d2-1f93-4ae1-b57a-8f5dc76a8aea%2F4a48fb26-d23d-44d4-80b6-1e4d580f1ae9%2Fuu0fxibq_processed.png&w=3840&q=75)
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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