Answer:
50 percent
Explanation:
According to my research on National Estimates, I can say that based on the information provided within the question it indicates about 50 percent of instances of disease and premature death are the result of unhealthy lifestyles. This information is based on surveys conducted all over the United States in 2018.
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Answer:
Cyclical
Explanation:
Please give me brainliest it would mean a lot
As the degrees of freedom increase, the t distribution approaches the "normal distribution".
<h3>
What is normal distribution?</h3>
For independent, random variables, the normal distribution, often referred as the Gaussian distribution, represents the most significant probability distribution in statistics. Most people are familiar with the bell-shaped curve found in statistical reports.
Some key features regarding the normal distribution are-
- A normal distribution is a probability distribution that is symmetrical around the mean, with most observations clustering around the central peak and probabilities tapering off equally in both directions.
- Data points in both distribution tails are similarly uncommon.
- Whereas the normal distribution appears symmetrical, it is not the only symmetrical distribution.
- The Student's t, Cauchy, & logistic distributions, for example, are symmetric.
- The normal distribution, like any other probability distribution, defines the how values of a variable is distributed.
- Because it accurately captures the range of values for many natural occurrences, it's the most essential probability distribution in statistics.
To know more about the normal distribution, here
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Answer:
There is a strong correlation, and many do answer yes to this question, however, one must not mistake correlation for causation. While there is an increase in anxiety and depression in today's youths, we ought to try and look beyond just social media for a cause of this. In some cases, social media is the cause, but there is often an underlying cause besides just this, and often times there is an entirely different reason all together. Each case is different in and of itself.