a. What are the requirements for constructing a confidence interval estimate of o or o²? b. How do the requirements from part (a) differ from the requirements for constructing a confidence interval estimate c. In the California Daily 4 lottery, 4 numbers from 0 to 9 are randomly selected with replacement. Can the methods o numbers that are selected in this lottery? Why or why not?
a. What are the requirements for constructing a confidence interval estimate of o or o²? b. How do the requirements from part (a) differ from the requirements for constructing a confidence interval estimate c. In the California Daily 4 lottery, 4 numbers from 0 to 9 are randomly selected with replacement. Can the methods o numbers that are selected in this lottery? Why or why not?
MATLAB: An Introduction with Applications
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![are the requirements for constructing a confidence interval estimate of oor o²?
do the requirements from part (a) differ from the requirements for constructing a confidence interval estimate of µ?
- California Daily 4 lottery, 4 numbers from 0 to 9 are randomly selected with replacement. Can the methods of this section be used to estimate o for the
s that are selected in this lottery? Why or why not?
ose the correct answer below.
…….
The sample must be a simple random sample and the sample must be from a normally distributed population.
The sample must be a simple random sample and the sample size must be greater than 30.
The sample must be from a normally distributed population and the sample size must be greater than 30.
The sample must be a simple random sample.
oose the correct answer below.
-For confidence interval estimates of o or o2, the requirement of a normal distribution is less strict, and the normality requirement cannot be waived for large
samples.
3. For confidence interval estimates of o or o2, the requirement of a normal distribution is less strict.
C. For confidence interval estimates of oor o², the requirement of a normal distribution is stricter.
D. For confidence interval estimates of o or o², the requirement of a normal disa pution is stricter, and the normality requirement cannot be waived for large
samples.
Choose the correct answer below.
A. Yes. The selected numbers are not equally likely and have a normal distribution.
OB. No. The selected numbers are not equally likely and do not have a normal distribution.
OC. No. The selected numbers are equally likely and have a uniform distribution, not a normal distribution as required.
OD. Yes. The selected numbers are equally likely and have a normal distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F559c9efa-ff9a-473e-b6b2-816aed31a370%2F28312f71-3a14-4afd-8b17-5f773f191f41%2Fopgtzer_processed.jpeg&w=3840&q=75)
Transcribed Image Text:are the requirements for constructing a confidence interval estimate of oor o²?
do the requirements from part (a) differ from the requirements for constructing a confidence interval estimate of µ?
- California Daily 4 lottery, 4 numbers from 0 to 9 are randomly selected with replacement. Can the methods of this section be used to estimate o for the
s that are selected in this lottery? Why or why not?
ose the correct answer below.
…….
The sample must be a simple random sample and the sample must be from a normally distributed population.
The sample must be a simple random sample and the sample size must be greater than 30.
The sample must be from a normally distributed population and the sample size must be greater than 30.
The sample must be a simple random sample.
oose the correct answer below.
-For confidence interval estimates of o or o2, the requirement of a normal distribution is less strict, and the normality requirement cannot be waived for large
samples.
3. For confidence interval estimates of o or o2, the requirement of a normal distribution is less strict.
C. For confidence interval estimates of oor o², the requirement of a normal distribution is stricter.
D. For confidence interval estimates of o or o², the requirement of a normal disa pution is stricter, and the normality requirement cannot be waived for large
samples.
Choose the correct answer below.
A. Yes. The selected numbers are not equally likely and have a normal distribution.
OB. No. The selected numbers are not equally likely and do not have a normal distribution.
OC. No. The selected numbers are equally likely and have a uniform distribution, not a normal distribution as required.
OD. Yes. The selected numbers are equally likely and have a normal distribution.
![st
a. What are the requirements for constructing a confidence interval estimate of oor o²?
K
b. How do the requirements from part (a) differ from the requirements for constructing a confidence interval estimate of
c. In the California Daily 4 lottery, 4 numbers from 0 to 9 are randomly selected with replacement. Can the methods of th
numbers that are selected in this lottery? Why or why not?
a. Choose the correct answer below.
OA. The sample must be a simple random sample and the sample must be from a normally distributed population.
OB. The sample must be a simple random sample and the sample size must be greater than 30.
OC. The sample must be from a normally distributed population and the sample size must be greater than 30.
OD. The sample must be a simple random sample.
b. Choose the correct answer below.
.………
OA. For confidence interval estimates of o or o², the requirement of a normal distribution is less strict, and the normali
samples.
OB. For confidence interval estimates of o or o2, the requirement of a normal distribution is less strict.
OC. For confidence interval estimates of o or o², the requirement of a normal distribution is stricter.
O D. For confidence interval estimates of o or o², the requirement of a normal disabution is stricter, and the normality re
samples.
c. Choose the correct answer below.
OA. Yes. The selected numbers are not equally likely and have a normal distribution.
OB. No. The selected numbers are not equally likely and do not have a normal distribution.
OC. No. The selected numbers are equally likely and have a uniform distribution, not a normal distribution as required.
O D. Yes. The selected numbers are equally likely and have a normal distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F559c9efa-ff9a-473e-b6b2-816aed31a370%2F28312f71-3a14-4afd-8b17-5f773f191f41%2Fr27gvcg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:st
a. What are the requirements for constructing a confidence interval estimate of oor o²?
K
b. How do the requirements from part (a) differ from the requirements for constructing a confidence interval estimate of
c. In the California Daily 4 lottery, 4 numbers from 0 to 9 are randomly selected with replacement. Can the methods of th
numbers that are selected in this lottery? Why or why not?
a. Choose the correct answer below.
OA. The sample must be a simple random sample and the sample must be from a normally distributed population.
OB. The sample must be a simple random sample and the sample size must be greater than 30.
OC. The sample must be from a normally distributed population and the sample size must be greater than 30.
OD. The sample must be a simple random sample.
b. Choose the correct answer below.
.………
OA. For confidence interval estimates of o or o², the requirement of a normal distribution is less strict, and the normali
samples.
OB. For confidence interval estimates of o or o2, the requirement of a normal distribution is less strict.
OC. For confidence interval estimates of o or o², the requirement of a normal distribution is stricter.
O D. For confidence interval estimates of o or o², the requirement of a normal disabution is stricter, and the normality re
samples.
c. Choose the correct answer below.
OA. Yes. The selected numbers are not equally likely and have a normal distribution.
OB. No. The selected numbers are not equally likely and do not have a normal distribution.
OC. No. The selected numbers are equally likely and have a uniform distribution, not a normal distribution as required.
O D. Yes. The selected numbers are equally likely and have a normal distribution.
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