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mixas84 [53]
2 years ago
10

In the late 1800s and early 1900s European nations formed alliances to

Social Studies
1 answer:
Ksju [112]2 years ago
3 0
<span>For mutual protection against real or imagined enemies. not 100% sure i did some research not to sure if this is correct.


</span>
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NO por q dice que no los Esporta junto a ella

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Citizens also have the opportunity to go beyond their civic duty and set an example of model citizenship. Which of these are exa
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From a statistical point of view, participants do not have enough information. To extrapolate statistical data, at least 30 subjects should be observed to make an inference, considering the traditional quantitative analysis and using the central limit theorem.

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A psychologist working in the biopsychological perspective would probably study:
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A social scientist is interested in studying if happiness (very happy, somewhat happy, a little happy, or not happy) is associat
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The answer is sibling status. The more naturally explanatory variable is the sibling status.

 

 

EXPLANATION

An explanatory variable is basically a part of the independent variable. The explanatory variable is a kind of independent variable. The term is similar to one another because the explanatory variable is a part of the independent variable. The term independent means that that variable is not affected by any other variables, while the explanatory variable means that a variable can’t be decided for certain if it’s independent or not.

 

The line between the explanatory variable and the independent variable is not really that important. Except if you do advance research that has a lot of variables, then it may be important because the variables are interacting with each other. The differences between the explanatory variable and the independent variables are important in clinical research. But in most cases, specifically in statistics, the independent variable and explanatory variable are basically the same.

 

Here is an example to understand the independent variable and explanatory variable. Let’s say there are two variables that can explain the cause of weight gain, which are soda and fast food. Most people might think that soda and fast food are both independent of each other, but actually, they are not really independent of each other.  

It has been associated that if you eat fast food, then you must drink soda as a compliment. If you buy soda, then there will be a lot of fast food options around you, like the burger, hot dogs, or even nachos. Even though soda and fast food are not independent of each other, they still explain the effect of weight gain. Therefore, fast food and soda are explanatory variables because they can explain the weight gain.

LEARN MORE

If you’re interested in learning more about this topic, we recommend you to also take a look at the following questions:

Statistical studies: brainly.com/question/9004850

The nature of relationship between variables: brainly.com/question/6887561

KEYWORD: explanatory variable, research, independent variable

Subject: Social Studies

Class: College

Subchapter: Explanatory variable

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3 years ago
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