"Untitled," by Stephen Chen I've often wondered how software is released and sold to the public. Ironically, I work for a company that sells products with known problems. Unfortunately, most of the problems are difficult to creat which makes them difficult to fix. I usually use the test program X, which tests the product, to try to create a specific problem. When the test program is run to make an error occur, the likelihood of generating an error is 1%. So, armed with this knowledge, I wrote a new test program that I can convince the management that I'm right, I ran my test program to find out how often I can generate the same error. When I ran my test program 50 times, I generated the error twice. Whi this may not seem much better, I think that I can convince the management to use my test program instead of the original test program. Am I right? that will generate the same error that test program X creates, but more often. To find out if my test program is better than the original, Conduct a hypothesis test at the 5% level. Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) O Part (a) O Part (b) O Part (c)

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Chapter1: Starting With Matlab
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URGENT: I really need help with this, it's due tomorrow morning so if anyone can please help me solve this I would be so grateful!

"Untitled," by Stephen Chen
I've often wondered how software is released and sold to the public. Ironically, I work for a company that sells products with known problems. Unfortunately, most of the problems are difficult to create,
which makes them difficult to fix. I usually use the test program X, which tests the product, to try to create a specific problem. When the test program is run to make an error occur, the likelihood of
generating an error is 1%.
So, armed with this knowledge, I wrote a new test program Y that will generate the same error that test program X creates, but more often. To find out if my test program is better than the original, so
that I can convince the management that I'm right, I ran my test program to find out how often I can generate the same error. When I ran my test program 50 times, I generated the error twice. While
can convince the management to use my test program instead of the original test program. Am I right?
this may not seem much better, I think that
Conduct a hypothesis test at the 5% level.
Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)
O Part (a)
O Part (b)
O Part (c)
O Part (d)
State the distribution to use for the test. (Round your answers to four decimal places.)
P'-N V
|× )
O Part (e)
What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.)
V ---Select---
t
O Part (1)
What is the p-value? (Round your answer to four decimal places.)
Explain what the p-value means for this problem.
O If Ho is false, then there is a chance equal to the p-value that the test program will not create an error 2 or more times out of 50 trials.
O If Ho is true, then there is a chance equal to the p-value that the test program will not create an error 2 or more times out of 50 trials.
O If Ho is true, then there is a chance equal to the p-value that the test program will create an error 2 or more times out of 50 trials.
O If Ho is false, then there is a chance equal to the p-value that the test program will create an error 2 or more times out of 50 trials.
Transcribed Image Text:"Untitled," by Stephen Chen I've often wondered how software is released and sold to the public. Ironically, I work for a company that sells products with known problems. Unfortunately, most of the problems are difficult to create, which makes them difficult to fix. I usually use the test program X, which tests the product, to try to create a specific problem. When the test program is run to make an error occur, the likelihood of generating an error is 1%. So, armed with this knowledge, I wrote a new test program Y that will generate the same error that test program X creates, but more often. To find out if my test program is better than the original, so that I can convince the management that I'm right, I ran my test program to find out how often I can generate the same error. When I ran my test program 50 times, I generated the error twice. While can convince the management to use my test program instead of the original test program. Am I right? this may not seem much better, I think that Conduct a hypothesis test at the 5% level. Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) O Part (a) O Part (b) O Part (c) O Part (d) State the distribution to use for the test. (Round your answers to four decimal places.) P'-N V |× ) O Part (e) What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.) V ---Select--- t O Part (1) What is the p-value? (Round your answer to four decimal places.) Explain what the p-value means for this problem. O If Ho is false, then there is a chance equal to the p-value that the test program will not create an error 2 or more times out of 50 trials. O If Ho is true, then there is a chance equal to the p-value that the test program will not create an error 2 or more times out of 50 trials. O If Ho is true, then there is a chance equal to the p-value that the test program will create an error 2 or more times out of 50 trials. O If Ho is false, then there is a chance equal to the p-value that the test program will create an error 2 or more times out of 50 trials.
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