Identify the TEST for the below scenario and explain why you will choose the test for the analysis: A researcher is interested to know which parameters in COVID-19 are important to classify patients with respect to disease severity. For this the researcher downloads the patient’s - lab values-demography data. Which test should the researcher implement to find the parameters that associate strongly with COVID disease severity?
Identify the TEST for the below scenario and explain why you will choose the test for the analysis:
- A researcher is interested to know which parameters in COVID-19 are important to classify patients with respect to disease severity. For this the researcher downloads the patient’s - lab values-demography data. Which test should the researcher implement to find the parameters that associate strongly with COVID disease severity?
The coefficient of correlation measures the strength of association between two variables. For given sample we just calculate sample correlation coefficient r to check whether there is association between two variables or not.
We use significance of correlation test to check whether the two variables are significantly correlated as follows.
1. We calculate sample correlation coefficient r between two variables.
2. Then we find the critical value using the Pearson correlation table.
3. We compare the calculated value, r, with the critical value.
If the | r | > critical value then we conclude that the variables are significantly correlated otherwise we conclude that the variables are uncorrelated.
Step by step
Solved in 2 steps
