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MakcuM [25]
3 years ago
11

Analyze the following statement: Marcus notices that he runs faster in the mornings rather than the evenings. Is the statement a

n example of correlation or causation?
A. Correlation, because time of day doesn't cause a person to run faster or slower B. Causation, because Marcus has noticed this over several trials
C. No relationship, because time of day has nothing to do with how fast a person runs
D.There is not enough information to make a conclusion
Mathematics
2 answers:
lana66690 [7]3 years ago
8 0

The answer is option A "Correlation, because time of day doesn't cause a person to run faster or slower." It's completely logic that the time of day doesn't affect the persons speed it's how fit the person that person is would effect his or her speed. Correlation is two data sets that are close together and are connected on a graph.

Hope this helps!

ziro4ka [17]3 years ago
4 0

Answer:

A. Correlation, because time of day doesn't cause a person to run faster or slower

Step-by-step explanation:

Marcus notices that he runs faster in the mornings rather than the evenings.This is a correlation because it tells us about the relationship of Marcus's running speed with respect to the time of day. The causation is not possible because there is no definite mention for the increase in speed.

<em>Hence, option A is the answer.</em>

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alexira [117]

The <em><u>correct answer</u></em> is:

We can conclude that 68% of the scores were between 55 and 85; 95% of the scores were between 40 and 100; and 99.7% of the scores were between 25 and 100.

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The empirical rule tells us that in a normal curve, 68% of data lie within 1 standard deviation of the mean; 95% of data lie within 2 standard deviations of the mean; and 99.7% of data lie within 3 standard deviations of the mean.

The mean is 70 and the standard deviation is 15. This means 1 standard deviation below the mean is 70-15 = 55 and one standard deviation above the mean is 70+15 = 85. 68% of data will fall between these two scores.

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3 standard deviations below the mean is 70-15(3) = 25 and three standard deviations above the mean is 70+15(3) = 115. However, a student cannot score above 100%; this means 99.7% of data fall between 25 and 100.

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