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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brainly.com/question/15246027
60 minutes. You need to relax and have a break, therefore, going to sleep will be a lot easier and more efficient.
Answer:
General ledger
Explanation:
General ledger is used to record all of a companies transaction
Answer:
The following data represents a random sample of 35 online purchases (in $) on
Cyber Monday:
152
158
158
162
163
164
165
166
171
171
176
180
180
184
185
188
189
190
191
197
200
213
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222
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227
