Explain the two main reasons why we have to be very cautious about drawing causal conclusions with...

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31. Explain the two main reasons why we have to be very cautious about drawing causal conclusions with correlation research:
32. Describe what it means when the results of a study are statistically significant.
33. Explain the difference between statistical significance and meaningful significance.
34. Identify a few of the reasons why scientists believe we need sleep.
35. Name the stages of sleep and in general how we distinguish between the stages.
36. Explain why REM sleep is considered "paradoxical."

SnapAndSolve AI · Accepted Answer

Directionality: Correlation does not indicate which variable influences the other. Third Variable: A third factor may be influencing both correlated variables. Statistical significance means that the results are unlikely to have occurred by chance, typically determined by a p-value less than a threshold (e.g., 0.05). Statistical significance refers to the likelihood that a result is not due to chance, while meaningful significance considers the practical importance or impact of the result. Scientists believe we need sleep for reasons such as memory consolidation, physical restoration, and maintaining cognitive functions. The stages of sleep include NREM (Non-Rapid Eye Movement) stages 1-3 and REM (Rapid Eye Movement) sleep. They are distinguished by brain wave patterns, eye movements, and muscle activity. REM sleep is considered "paradoxical" because, despite being a deep sleep stage, the brain is very active, similar to wakefulness, while the body remains immobile.

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Explain the two main reasons why we have to be very cautious about drawing causal conclusions with...

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