You multiply by 10 or more
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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Answer:
Papi
Step-by-step explanation:
Answer:
The answer would be 50
Step-by-step explanation:
Answer: 16 rotations
Step-by-step explanation:
Given : Shawn is coasting down a 500 cm long ramp on his inline skates. The wheels on his inline skates are 32 cm in circumference.
Length of ramp = 500 cm
Circumference of wheels = 32 cm
Formula :
Number of rotations = Length of ramp divided by Circumference of wheels
= 500 cm ÷ 32 cm
= 15.625 ≈ 16 [approx]
Therefore, each wheel makes 16 rotations while Shawn is coasting down the ramp.
