Answer: To add or subtract radicals, the indices and what is inside the radical (called the radicand) must be exactly the same. If the indices and radicands are the same, then add or subtract the terms in front of each like radical. If the indices or radicands are not the same, then you can not add or subtract the radicals.
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.
To learn more about normal distribution, refer to:
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Answer:
Step-by-step explanation:
x y
−1 −2
2 3
3 1
6 −2
$12.80 is your answer.. see all you needed to do was divide $2.40 by three.. as that is one oz you would only then multiply by twelve for your answer.
Answer:
17 blue eggs and 23 purple
Step-by-step explanation:
what we do is very simple
2 eggs one of each = 5
Then we distribute 97
b = (90/2 + 1 + 1) /3 p = (90/2 + 1) /2
b = 47/2 p= 46 /2
b = 17 p = 23
