Perform a one-sample t-test on resting blood pressure for 165 heart disease patients. If the mean is >125 mmHg (p < 0.05), evidence supports the claim.
To disease have a mean resting blood pressure above 125 mmHg, a one-sample t-test can be conducted using the resting blood pressure data from the dataset.
The null hypothesis (H0) would state that the mean resting blood pressure is equal to or less than 125 mmHg, while the alternative hypothesis (H1) would assert that the mean is greater than 125 mmHg.
Assuming a significance level of 5%, the t-test would provide a p-value.
If the p-value is less than 0.05, we reject the null hypothesis in favor of the alternative, indicating significant evidence that the mean resting blood pressure is greater than 125 mmHg.
It is essential to consider factors such as sample size, variability in the data, and the chosen significance level when interpreting the results.
Additionally, the t-test assumes that the data follows a normal distribution, and the sample should be representative of the population of interest.
After conducting the statistical test on the dataset, reviewing the p-value will allow you to make a conclusion regarding whether the data provides significant evidence in favor of the claim that the mean resting blood pressure for patients with heart disease is above 125 mmHg.