Because they felt like it wasn't correct, they felt that as if they were been treating humans as if they were their own pets or animals just to be experimented on.
"<span>Humanists felt that behaviorism reduced people to mere animals." is your answer</span>
Well, it depends on what you mean by that. The constitution is clear that no matter your creed, race, religion, gender, wealth, or health, as long as you’re a United States citizen, you have the right to life, liberty, and the pursuit of happiness.
People have to realize that unfortunate things and tragedies will happen despite anything state or federal government does, so to take just one or two things and say the government isn’t doing enough is ridiculous.
I personally believe government should do more or less renovation, however what they’re doing at the moment is perfectly fine.
I believe that it must be the policy of united states -argument.
I believe that we must assist free people- Not argument.
I believe that our help should be primarily through economic and financial aid - argument
<h3>How do you know if the passage is an argument or not?</h3>
A passage is known to be an argument if the Context is trying to convince you about an idea and if its conclusion has what it is trying to convince you of.
Note that one need to know the Reasons and why one need to believe them for it to be an argument.
Therefore, I believe that it must be the policy of united states -argument.
I believe that we must assist free people- Not argument.
I believe that our help should be primarily through economic and financial aid - argument
Learn more about argument from
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Imitative polyphony often printed religious in nature.
The standard error of the difference of sample means is 0.444
From the complete question, we have the following parameters
<u>Canadians</u>
- Sample size = 50
- Mean = 4.6
- Standard deviation = 2.9
<u>Americans</u>
- Sample size = 60
- Mean = 5.2
- Standard deviation = 1.3
The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.
This is represented as:
The standard error of the Canadian sample is:
So, we have:
The standard error of the American sample is:
So, we have:
The standard error of the difference of sample means is then calculated as:
This gives
Take square roots
Hence, the standard error of the difference of sample means is 0.444
Read more about standard errors at:
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