The right option is; d. the average American watches 4 hours of television per day.
A sedentary lifestyle is a style of living which involves increased amount of daily sitting or lying down such as when watching television, when playing video games, when reading, or working on the computer. A sedentary lifestyle can contribute to negative health problems such depression, diabetes, increased anxiety, and cardiovascular disease.
Its not that we allow it it just happens and noone can say anything about it even though its wrong
Answer:
A. It is likely that she would win on the claim because she does not seek to use the photographs in a business pursuit.
Explanation:
In fair use act, <em><u>which is the copying of any given copyrighted material done for a limited purpose, such as to comment upon, criticize e.t.c,</u></em> the major aim is to prevent the copying of the materilas for financial gains. Such copying can be done without permission from the copyright owner.
She could likely win based on this argument as a result of her trying to copy only few copies of the pictures from the original pictures without any aim of monetizing her copies.
<em>Since it is going to be done for limited purpose, she is within her right of fair use if she decided to go ahead without the photographer's permisssion.</em>
It means if you have good judgment then it means you have experience , and you get experience from bad judgment
The updated version of the published taxonomy and diagnostic manual, the Diagnostic & Diagnostic And statistical Manual, 4th Edition, was released in 2013.
<h3>What is a statistical example?</h3>
Statistics are numerical representations of sample characteristics. One population parameter is the average income in the United States. On the other hand, a sample statistic is the average salary for a sample taken from the United States. Although both figures correspond to the mean income, only one is a statistic.
<h3>What sort of statistical test would you use?</h3>
Determine if there is a scientifically significant difference between the two variables using the independent t-test, commonly known as the two-sample t-test or student's t-test.
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