There are different laws. The statement that is not true is that for a large population, the count of failures for an SRS of size n does not have a binomial distribution.
<h2> B
inomial distribution</h2>
There are things that takes place in binomial distribution when n is large.
Note that For large values of n, the distributions of the count X and the sample proportion are said to be normal. This result is said to be in line with the Central Limit Theorem.
The binomial distribution B (n,p) is known to be good example of the Sampling distribution of the count of successes in an SRS of size n from a large population that has proportion p of successes.
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It’s hard but u just have to give it ur best
Answer:
Unbalanced force is the correct answer.
Explanation:
In a centralized organization, <u>few people</u> make all the important decisions.
<h3>What is a centralized organization?</h3>
A centralized organization is an organization of people in which the few people holding the position of higher authority of the hierarchy make and take decision.
Decisions are made by a small group of people elected in a centralized organization and then communicated to a larger number of people at the lower level. The president is usually the highest hierarchy of people who make decisions.
Decision making in a centralized organization is efficient because few people are involved.
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