Answer:
Julius Ceaser became a dictator because he had many loyal followers
Explanation:
Answer:
working class
Explanation:
In the context of the Weberian model of the U.S. class structure, the <u>working class</u> includes people who are employed in the service sector as clerks, salespeople, and fast-food workers whose job responsibilities involve routine, mechanized tasks requiring little skill beyond basic literacy; some people in this class are employed in pink-collar occupations. Weber grouped the American population into 6 distinct class; upper class, new money
, middle class, working class, working poor, and under class.
Weber described the working class as individuals who may have gone to college, but more have had vocational or technical training, they include electricians, factory workers, police officers and truck drivers, they are also referred to as blue collar and they constitute about 20% of American work force.
Andreas likes basketball more than science
Answer:
The answer is "strength-power periodization and daily undulating periodization"
Explanation:
The probability in which competitive athletes have preserved or improved strength (and/or pace capacity) output through the essential strength linear progressions and on-the-go linear progressions from off, post, and also in conditions due to differences in mesocycle length, scheduling, and program factors.
- The Periodization of strength/power focuses mostly on variation in frequency and volume of training.
- A Daily undulatory periodization is a non-linear form of linear progressions focussing on the first method.
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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