As a rule of thumb, the sampling distribution of the sample proportion can be approximated by a normal probability distribution whenever the sample size is large.
<h3>What is the Central limit theorem?</h3>
- The Central limit theorem says that the normal probability distribution is used to approximate the sampling distribution of the sample proportions and sample means whenever the sample size is large.
- Approximation of the distribution occurs when the sample size is greater than or equal to 30 and n(1 - p) ≥ 5.
Thus, as a rule of thumb, the sampling distribution of the sample proportions can be approximated by a normal probability distribution when the sample size is large and each element is selected independently from the same population.
Learn more about the central limit theorem here:
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Step-by-step explanation:
-4x - 2y = 18
+ (4x - 4y = -36)
=> -6y = -18, y = 3
As we added the equations together, we have eliminated x and found y.
Hence the correct answer is "Add to eliminate x".
Answer:
Step-by-step explanation:
4 * 9 + 2* 9 + 1/2*6 * 3
= 36 + 18 + 9
= 63 in^2
U need to find the length
7 + 7 + 18 + 18 = 50
width is 7 and length is 18
area is length x width
18 x 7 = 126 ft^2
