Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P[T<=t) one-tail t Critical one-tail P[T<=t) two-tail t Critical two-tail Confidence Level Southern Northern 155.056 168.889 345.938 560.928 18 18 453.433 0 34 1.949 0.030 2.441 0.060 2.728 99% -2 -1 0 p= Ex: 1.234 1 2 3 t = Ex: 1.234
Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P[T<=t) one-tail t Critical one-tail P[T<=t) two-tail t Critical two-tail Confidence Level Southern Northern 155.056 168.889 345.938 560.928 18 18 453.433 0 34 1.949 0.030 2.441 0.060 2.728 99% -2 -1 0 p= Ex: 1.234 1 2 3 t = Ex: 1.234
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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
Transcribed Image Text:### Hypothesis Tests for the Difference Between Two Population Means
A real estate agent believes that the mean home price in the northern part of a county is higher than the mean price in the southern part of the county and would like to test the claim. A simple random sample of housing prices is taken from each region. The results are shown below.
#### Data Summary:
| | Southern | Northern |
|----------------------------|----------|----------|
| **Mean** | 155.056 | 168.889 |
| **Variance** | 345.938 | 560.928 |
| **Observations** | 18 | 18 |
| **Pooled Variance** | 453.433 | |
| **Hypothesized Mean Difference** | 0 | |
| **Degrees of Freedom (df)** | 34 | |
| **t Stat** | 1.949 | |
| **P(T<=t) one-tail** | 0.030 | |
| **t Critical one-tail** | 2.441 | |
| **P(T<=t) two-tail** | 0.060 | |
| **t Critical two-tail** | 2.728 | |
| **Confidence Level** | 99% | |
#### Graph Explanation
The graph shown represents the distribution of the t-statistic. The t-statistic distribution is illustrated with a smooth curve, showcasing a peak at the mean of zero and two tails extending in the negative and positive directions.
- The x-axis represents the t-values ranging from -3 to 3.
- The y-axis represents the probability density.
Key points marked on the graph:
- The calculated t-value (t = 1.949) is shown towards the right side of the distribution.
- The areas under the curve in the tails represent the p-values for the one-tail and two-tail tests.
#### Additional Calculations:
- **Sample Size (n)**: Ex = 9
- **Degrees of Freedom (df)**: (Calculation needed)
- **Point Estimate for the Southern Part of the County (\( \bar{x}_1 \))**: Ex = 1.234
- **Point Estimate for the Northern Part of the County (\( \bar{x}_2 \))**: (Calculation needed)
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