Consider again the electronics manufacture from Question 1. Another employee, on a different day, decides to take her own simple random sample (not using cluster or stratified) and she selects n = 20 voltmeters from the population. What is the probability that she would select at least 1 digital voltmeter from her sample of 20? *I only am looking for Q2, I have already figured out Q1.
Consider again the electronics manufacture from Question 1. Another employee, on a different day, decides to take her own simple random sample (not using cluster or stratified) and she selects n = 20 voltmeters from the population. What is the probability that she would select at least 1 digital voltmeter from her sample of 20? *I only am looking for Q2, I have already figured out Q1.
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Consider again the electronics manufacture from Question 1.
Another employee, on a different day, decides to take her own simple random sample (not using cluster or stratified) and she selects n = 20 voltmeters from the population.
What is the
*I only am looking for Q2, I have already figured out Q1.
![Question 1
An electronics manufacturer wishes to perform a quality control on its voltmeters, and
wants to specifically make sure that it includes a portion of its digital voltmeters in its
sample. In its population, analog voltmeters comprise 95% of all voltmeters produced,
but digital voltmeters comprise only 5% of all voltmeters produced.
A quality control engineer's sample consists of 2 digital voltmeters and 38 analog
voltmeters.
Which of the following best describes the type of sample that was likely taken?
A cluster sample technique was used, but a simple random sample was not taken.
A stratified sample technique was used, and a simple random sample was taken.
A stratified sample technique was used, but a simple random sample was not taken.
None of the above.
Question 2
Consider again the electronics manufacture from Question 1.
Another employee, on a different day, decides to take her own simple random sample
(not using cluster or stratified) and she selects n = 20 voltmeters from the population.
What is the probability that she would select at least 1 digital voltmeter from her sample
of 20?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3109647e-ec41-42bb-ae94-56d82d22e7e1%2Fbd6aa73a-3024-44db-a68c-cfb92809912c%2Fzq2sj7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 1
An electronics manufacturer wishes to perform a quality control on its voltmeters, and
wants to specifically make sure that it includes a portion of its digital voltmeters in its
sample. In its population, analog voltmeters comprise 95% of all voltmeters produced,
but digital voltmeters comprise only 5% of all voltmeters produced.
A quality control engineer's sample consists of 2 digital voltmeters and 38 analog
voltmeters.
Which of the following best describes the type of sample that was likely taken?
A cluster sample technique was used, but a simple random sample was not taken.
A stratified sample technique was used, and a simple random sample was taken.
A stratified sample technique was used, but a simple random sample was not taken.
None of the above.
Question 2
Consider again the electronics manufacture from Question 1.
Another employee, on a different day, decides to take her own simple random sample
(not using cluster or stratified) and she selects n = 20 voltmeters from the population.
What is the probability that she would select at least 1 digital voltmeter from her sample
of 20?
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