In the general case, it is (x, y+3), where y = f(x).
For a binomial experiment in which success is defined to be a particular quality or attribute that interests us, with n=36 and p as 0.23, we can approximate p hat by a normal distribution.
Since n=36 , p=0.23 , thus q= 1-p = 1-0.23=0.77
therefore,
n*p= 36*0.23 =8.28>5
n*q = 36*0.77=27.22>5
and therefore, p hat can be approximated by a normal random variable, because n*p>5 and n*q>5.
The question is incomplete, a possible complete question is:
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.
Suppose n = 36 and p = 0.23. Can we approximate p hat by a normal distribution? Why? (Use 2 decimal places.)
n*p = ?
n*q = ?
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Answer:
24 degrees
Step-by-step explanation:
2b=180^o-132^o
2b=48^o
b=24^o
Answer:
1/2
Step-by-step explanation:
The answers are Sample population and the Sample Size is Large Enough.
<h3>What are population and sample?</h3>
It is defined as the group of data having the same entity which is related to some problems. The sample is a subset of the population, it is a part of the population.
If the central Limit Theorem is applicable, this means that the sampling distribution of a sample population can be treated as normal since the sample size is large enough.
Also, It asserts that the distribution of the average of the sum of many identically distributed and independent variables will be approximately normal, irrespective of the statistical properties.
Thus, the answers are Sample population and the Sample Size is Large Enough.
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