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Ilia_Sergeevich [38]
3 years ago
15

Dr. Keyes is a veterinarian who believes that people are happier if they own more pets. He hopes

Advanced Placement (AP)
1 answer:
pickupchik [31]3 years ago
6 0

Answer:

False.

Explanation:

The study that Dr. Keyes wants to do is a study that uses two variables (pets and happiness). Dr. Keyes wishes to prove the cause and effect relationship between these two variables that prove that the greater the amount of pets (causes) people have, the greater the happiness of these people (effect). For this reason, we can say that Dr. Keyes is not doing a correlational study.

This is because, although the correlational study wishes to observe the relationship between two variables, this study cannot be applied to cause and effect relationships.

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I would change to fit in.

Explanation:

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2 years ago
1. Explain how population pyramids could be used to analyze data at different scales. Provide an example.
Komok [63]

Following enlisted are the answers for the above mentioned question.

Explanation:

1. Population pyramids is graphical representation of data which enables oneself to distinguish and have a clear picture in minds about the ratio of population densities keeping any one parameter as constant. Population pyramids could be used to analyze data in many different scales on the basis of gender,age groups, race etc. Examples-having a record of no. of individuals in different age groups in India.

2. Generally, there are 3 types of population pyramid on the basis of shapes of the pyramid. Those are;

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Siting an example of age-sex pyramids,

In case of the Expansive, population pyramids show that the populations that have a larger number of persons in young age groups. The shape obtained hence is usually with high fertility rates with lower death rates

Then comes, Constrictive population pyramids. These are named so since they are constricted at the bottom. They undue a low percent of young people as compared with other age groups. These type of pyramids show decreasing birth rates.

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