Two Variable Statistics

Quantic’s “Two-Variable Statistics” certificate focuses on measuring relationships between two data sets and comparing correlation and causation. Here are the key topics covered in this certificate program:

1. Correlation:
   • Understand positive and negative correlation.
   • Learn about direct and inverse correlation.
   • Recognize that correlation may or may not be relevant.

2. Causation:
   • Explore the concept of causation and its limitations.
   • Understand why causation implies correlation, but the reverse is not always true.

3. Observational Studies:
   • Learn about different types of observational studies.
   • Understand why observational studies cannot definitively prove causation.

4. Experiments:
   • Explore controlled experiments and how they can establish causation.
   • Understand the placebo effect and ethical constraints in experiments.

5. Scatter Plots:
   • Identify correlation in data sets using scatter plots.
   • Interpret scatter plots and recognize positive and negative relationships.

6. Correlation Coefficient:
   • Evaluate how variables are correlated.
   • Understand what the correlation coefficient reveals about the relationship between variables.

7. Covariance:
   • Learn about covariance and its calculation.
   • Understand the relationship between covariance and the correlation coefficient.

Remember, your performance in the SmartCase lesson titled “Super Statistics” will contribute to your final grade. Take your time and answer carefully¹.