The answer is: c.The earliest third parties in the United States arose as a result of the Great Depression.
The great depression happen in 1920s, but the earliest third party has been around since the 1800s. Those third p[arty arise because there are a lot of segment in the population felt that their values/principles were not fully embodied by the existing two dominant parties. So, they decided to form third party alternative.
Answer:
True
Explanation:
I would say that true, trying to solve a problems that you no next to nothing about can lead to some tricky situations.
The correct answer would be option A, An economy's total output divided by its total population.
The best description of GDP per capital is An economy's total output divided by its total population.
Explanation:
GDP stands for Gross Domestic Product. The total output, or total number of goods or services produced within a country is called as the Gross Domestic Product. GDP per capital is the GDP divided by its population.
The total output of a country can be defined as the total amount of products or services that are produced inside the country.
This output is when divided by the population of the country, then we can get the Gross Domestic Product Per Capital.
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<span>The family serves as the primary agent of gender role socialization in the United States. Heterosexual two-parent households are the principle agent of gender role socialization, aided by depictions of gender roles in media, and social sanctions and role modeling in peer groups.</span>
Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.