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Db And Response

Content type

User Generated

Subject

Psychology

School

Capella University

Type

Homework

Uploaded By

xbune844

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Discussion question

Hello Everyone.

• What does this correlation tell you?

This correlation tells me that correlation involves two variables relating but not necessarily

having a causal relationship. It proves the fact that correlation and causation can occur at the

same time. However, they are not the same.

• Is this correlation evidence that having a high family income causes one to have high

SAT scores?

I believe that this correlation does not evidence that high family income causes one to have

high SAT scores. According to the article, a causal relationship may exist, but it cannot be

identified by just studying correlation. Generally, another variable apart from high family

income, for example, longer hours of studying, may lead to high STAT scores.

• Is this correlation evidence that high SAT scores cause higher income? Or does this

tell you something else? Explain your answer.

In this case, I still hold to the notion that correlation is not equal to causation. Although a

student with high STAT scores may get access to quality higher education, this does not

automatically guarantee a high-paying job. In fact, the increasing unemployment level is

rendering many learned individuals unemployed.

• Explain why correlation alone is rarely sufficient to demonstrate cause.

Correlation alone rarely demonstrate cause because, in most cases, correlation results

from coincidences. When things occur simultaneously, the variables seem to have a causal

relationship, yet they do not. For instance, when variables and A and B correlate, there is a

possibility that an external variable C causes B or A.

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• Provide a personal example of two variables that may be correlated but not have a

cause and effect relationship. Identify what type of bivariate correlation is involved,

based on the measurement scales of the variables.

Political campaign rallies and theft cases may be correlated but not have a cause-and-

effect relationship. For example, a higher number of political rallies and an increased number of

theft cases may occur at the same time. However, attending a political rally does not make the

participant a thief. Numerical and numerical bivariate correlation is involved in this case.

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Discussion question Hello Everyone. • What does this correlation tell you? This correlation tells me that correlation involves two variables relating but not necessarily having a causal relationship. It proves the fact that correlation and causation can occur at the same time. However, they are not the same. • Is this correlation evidence that having a high family income causes one to have high SAT scores? I believe that this correlation does not evidence that high family income causes one to have high SAT scores. According to the article, a causal relationship may exist, but it cannot be identified by just studying correlation. Generally, another variable apart from high family income, for example, longer hours of studying, may lead to high STAT scores. • Is this correlation evidence that high SAT scores cause higher income? Or does this tell you something else? Explain your ...
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Tags: Causal Relationship high family income STAT scores higher education unemployment level