Select a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association?
Select a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association?
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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Select a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association?

Transcribed Image Text:### Transcription of Image Content for Educational Purposes
#### R Code for Correlation Coefficient Calculation
1. **Using cor() method:**
- Code:
```r
result = cor(x, y, method = "pearson")
```
2. **Print the result:**
- Code:
```r
cat("Person correlation coefficient is:", result)
```
- Output:
```
Person correlation coefficient is: 0.9312196
```
3. **Using cor.test() method:**
- Code:
```r
res = cor.test(x, y, method = "pearson")
```
4. **Print the detailed result:**
- Code:
```r
print(res)
```
- Output:
```
Pearson's product-moment correlation
data: x and y
t = 26.553, df = 108, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.901059 0.9523982
sample estimates:
cor
0.9312196
```
### Explanation of Output
- **Pearson's Product-Moment Correlation:** This is a measure of the linear correlation between two variables, x and y.
- **Data:** The variables analyzed are labeled as x and y.
- **t-value:** 26.553; this statistic is used to determine the significance of the correlation.
- **Degrees of Freedom (df):** 108; represents the number of values in the calculation that are free to vary.
- **p-value:** Less than 2.2e-16; suggests a very strong statistical significance for the correlation.
- **Alternative Hypothesis:** The hypothesis that the true correlation is not equal to zero.
- **95 Percent Confidence Interval:** Ranges from 0.901059 to 0.9523982, indicating the precision of the estimate.
- **Sample Estimate for Correlation (cor):** 0.9312196; a high value indicating a strong positive linear relationship between variables x and y.
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