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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68000. The reason this is the answer is because you have to move the decimal point to the right 3 times since it’s x3
Answer:
D
Step-by-step explanation:
The lines are parallel, this means that they will never meet.
Answer:
Step-by-step explanation:
Plot the figure to better understand the problem
see the attached figure
we know that
If the figure is a rectangle
then
The area of the rectangle is equal to
where
B is the base
h is the height
the base B is equal to the distance AB
the height h is equal to the distance AD
Step 1
Find the distance AB
the formula to calculate the distance between two points is equal to
substitute the values
Step 2
Find the distance AD
the formula to calculate the distance between two points is equal to
substitute the values
Step 3
Find the area of the rectangle
we have
substitute
