A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
Yes, the large-sample confidence interval will be valid.
<h3>What is meant by normal distribution?</h3>
A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
The normal distribution, also known as the Gaussian distribution, is a symmetric probability distribution about the mean, indicating that data near the mean occur more frequently than data far from the mean.
The confidence interval will be valid regardless of the shape of the population distribution as long as the sample is large enough to satisfy the central limit theorem.
<h3>
What does a large sample confidence interval for a population mean?</h3>
A sample is considered large when n ≥ 30.
By 'valid', it means that the confidence interval procedure has a 95% chance of producing an interval that contains the population parameter.
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Answer:
48 feet of fence
Step-by-step explanation:
A rectangle has 4 sides, the parallel sides are equal to each other in length.
If Hector used 14 feet of fence on the long side, he used 28 feet in total for both long sides.
If Hector used 10 feet for the width/short side, he used 20 feet in total for both short sides.
Put simply: (14 x 2) + (10 x 2) = 48 feet of fence in total
Answer:
(5/15)(4/14) = 4/42 = 2/21
Step-by-step explanation:
Well you'd see if it's closer to 10000 or 20000.
In this case it would round to 20000.
