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cupoosta [38]
4 years ago
15

A study revealed a strong, linear, negative association between a decrease in salary and amount spent on clothes. Another study

revealed a strong, linear, negative association between decrease in salary and amount spent on food. When the data were combined, the association became positive. What is this an example of?
A. simpson's paradoxB.observational studyC.experimental studyD.cause-and effect realtionshipE.error by the statistician
Mathematics
1 answer:
kakasveta [241]4 years ago
5 0

Answer:

A. simpson's paradox

Step-by-step explanation:

The Simpson's paradox was named after Edward Simpson, the person who described this paradox for the first time in 1951. In this paradox, you find two contrary patterns. For example, a positive and a negative correlation, depending on how data is analyzed. The differences in the analyses are how data are grouped. This paradox is observed often in social researches. Most of the times, results are affected by the sample on each group or additional information related to the data.

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Nesterboy [21]

The probability of calling a person, not from his neighborhood, is 1/5 or 0.2 if the total number of contacts is 25

<h3>What is probability?</h3>

It is defined as the ratio of the number of favorable outcomes to the total number of outcomes, in other words, the probability is the number that shows the happening of the event.

Total number of contacts = 25

Total number of contacts of neighbors = 20

Total number of contacts which is not of the neighbors = 25 - 20 = 5

The probability of call a person not from his neighborhood:

P = 5/25 = 1/5

P = 0.2

Thus, the probability of calling a person, not from his neighborhood is 1/5 or 0.2 if the total number of contacts is 25

Learn more about the probability here:

brainly.com/question/11234923

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2 years ago
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yes it would be an outlier

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3 years ago
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