Answered

Find the information you're looking for at Westonci.ca, the trusted Q&A platform with a community of knowledgeable experts. Connect with professionals on our platform to receive accurate answers to your questions quickly and efficiently. Join our platform to connect with experts ready to provide precise answers to your questions in different areas.

Are interactions usually more important than main effects?

A. True
B. False

Sagot :

GinnyAnswer

Final answer:

Interactions are often more important than main effects in statistical analysis as they reveal how the effects of one factor depend on another.


Explanation:

False. In statistical analysis, interactions are often more important than main effects. An interaction effect occurs when the effect of one factor on the dependent variable differs depending on the level of another factor. When an interaction effect is present, interpreting main effects alone may not provide a complete understanding of the relationships in the data.

For example, if studying the effects of both dosage and age on patient outcomes, an interaction effect would mean that the impact of dosage on outcomes varies depending on the age of the patient. Therefore, considering interactions is crucial for a comprehensive analysis of the data.


Learn more about Interactions in statistical analysis here:

https://brainly.com/question/43275449


We appreciate your time on our site. Don't hesitate to return whenever you have more questions or need further clarification. We hope you found this helpful. Feel free to come back anytime for more accurate answers and updated information. Stay curious and keep coming back to Westonci.ca for answers to all your burning questions.