MATH 110 Module 5/Questions & Answers/Latest Updated A+ Guide Solution

MATH 110 Module 5
Due No due date Points 5 Questions 7 Time Limit None




Attempt History Attempt Time Score
LATEST Attempt 1 199 minutes 5 out of 5




Score for this quiz: 5 out of 5 Submitted
Aug 22 at 4:26pm
This attempt took 199 minutes.


Question 1 0 1 0 pts

,Suppose that you are attempting to estimate the weight of 600 parts. In
order to use the infinite standard deviation formula, what sample size, n,
should you use?

Your Answer:
n
< .05
n<
.05
600

n (.05)
600
n <
30
Sample size must be less than 30




In order to use infinite standard deviation formula, we must
have:
n—
0.05

n
— 0.05
600 n
0.05(600)
30

So, the sample size must be less than 30.


Question 2 O I O pts

, Suppose that you take a sample of size 15 from a population that is known
to be normally distributed. Can the sampling distribution of X be
approximated by a normal probability distribution?

Your Answer:

Yes, the sampling distribution of X can be approximated by a normal
probability distribution because the population is normally distributed.



Yes, the sampling distribution of R can be approximated by a
normal probability distribution because the population is normally
distributed. (Recall that if the population is normally distributed,
the sampling distribution of can be approximated by a normal
probability distribution even for very small sample sizes.)




Question 3 O I O pts


Suppose that you take a sample of size 20 from a population that is not
normally distributed. Can the sampling distribution of X be approximated

by a normal probability distribution?

Your Answer:

No, the sampling distribution of R cannot be approximated by a normal
probability distribution in this case.



No, the sampling distribution of cannot be approximated by a
normal probability distribution in this case. (Recall that if the
population is not normally distributed, the sample size must be at
least 30.)