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SCIE211 Franklin University Crows Casual Reasoning Discussion

SCIE211 Franklin University Crows Casual Reasoning Discussion

Paper needs to be at least 4 pages long doubled spaced
In this assignment, you will need to construct your own answers based on the video links

In your own words, describe what a correlation is and how it is established.
In your own words, discuss what “correlation does not imply causation” means.

Go to the following links to learn about Crows’ Causal Reasoning:Choose one video to summarize with complete details (on the basis of what we learned in this module) and discuss in your own words what is in the crow’s behavior that suggests an understanding of causation.

Science in Action: Crows’ Casual Reasoning (2:15)
How Smart is a Crow? (2:13)
Casual Understanding of Water Displacement by a Crow (3:17)

Go online and find a news (or magazine) article that confuses correlation for causation. Summarize what you found in your own words and explain the misapplication. Be sure to cite the article’s source(s).
Complete Action Items in Parts I and II in a Microsoft Word document.
Read AN ILLUSTRATIVE EXAMPLE: DIET AND CANCER (CHAPTER #8) and critically evaluate the correlational claim. Be sure to answer the four basic CRITICAL QUESTIONS applied to correlation (Chapter 8, section titled “˜Evaluating Correlational Claims: The Critical Questions):

What does the claim of correlation mean? (What two variables, changing events, factors, or things co-vary? Do they exhibit a positive or negative relation?)
How good is the evidence? (Are two relevant groups being compared? Is the difference between the groups large enough (i.e., outside the margin of error of both samples) so that it is unlikely that these differences are the result of chance sampling variation? Were the groups being compared appropriately selected?)
What other information is relevant? (What is the context? Have other researchers found similar correlations? Of similar strength? Did other researchers use different types of samples and groups?)
Are relevant fallacies avoided? (e.g., consider the fallacies of No comparison, Biased Sampling, Small Sample, Unclear Target Population, andof Significance).

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