If I am understanding the question correctly, the credit distribution is not the same as you would find in high school. In other words, preparing for college (college prep) would require a certain number of credits in specified areas, such as English, math, foreign language, lab science etc. The credit distribution in college in strictly dependent on the students program of study. Thus, the credit distribution for a psychology major, would be much different than a program of study in engineering. In addition, it would also depend on the college or university's preference as to whether - for example - the approach is that of a bachelors of arts (BA) or bachelor and science (BS) degree. Thus, you would have to look at each individual major, within each individual college or university, and the preference - if applicable - of the department offering the program of study.
Language.
History is the study of past events, people, and civilizations. English is the study and application of the English language, such as grammer, puncuation, vocab, and the style of writing.
The average person uses about 20,000-30,000 English words in their vocabulary. This includes both active words that they use regularly in speech and writing, as well as passive words that they understand but may not use as frequently.
The average pay of a target Employee ranges between $8 and hour and $12 per hour.
In the United States, the average salary is $90,000, with a distribution of pay between $50,000 and $140,000.
Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.
Given a set of n numbers, the average is the sum of the set of numbers divided by n. An average implies that I have a set of data and I've made the calculation as above. The word "normal" is usually used as "normal distribution." Two terms often confused are "mean" and "average." When an average (a statistic) is calculated, this is the best estimate of the mean (a parameter) of the distribution. If I am referring to the properties of a distribution, I should use the term "mean" and not "average." Often, people will refer to the mean of a dataset, when they have calculated an average.
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
The average height of an English bulldog is between 30 and 36 centimeters, with the average weight in the United States being close to 45 or 50 pounds. In the United Kingdom the average weight is 50-55 pounds.
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.