Correlations

The video tutorial explains correlations as relationships between variables, highlighting the importance of understanding their direction and strength. It emphasizes that correlation does not imply causation, using a real-world example of TV watching and aggression. The tutorial also covers correlation coefficients, ethical considerations, and provides exam preparation tips.

What is the primary focus when studying correlations?

• Variables

• Relationships

• Causation

• Graphs

What does a positive correlation indicate?

• One variable increases while the other decreases

• Both variables increase or decrease together

• No relationship between variables

• Variables are independent

Which correlation coefficient indicates a stronger relationship?

• -0.50

• 0.30

• -0.73

• 0.45

What is a common misconception about negative correlations?

• They are stronger than positive correlations

• They are weaker than positive correlations

• They indicate no relationship

• They are always significant

What is the key takeaway about correlation and causation?

• Correlation is unrelated to causation

• Correlation does not imply causation

• Correlation sometimes implies causation

• Correlation always implies causation

What might be a third factor influencing both TV watching and aggression?

• Socioeconomic status

• Dietary habits

• Time of day

• Weather conditions

What is a potential ethical issue in correlational research?

• Lack of data

• Informed consent

• Socially sensitive topics

• Data accuracy