I am setting a new standard assessment and want the pass rate in the population to be 90%. As a trial, I select 150 participants and ask them to complete the standard assessment. I achieve 129 passes and 21 fails. • Null Hypothesis: Population Pass Rate equals 0.9 • Alternative Hypothesis: Population Pass Rate not equal to 0.9 Are the assumptions satisfied for me to proceed with the test? O Yes, I have at least 10 passes and 10 fails O Yes, but I must use t instead of Z as the sample size is not very large Yes, the sample size of 150 exceeds 30 so the central limit theorem will hold Ne

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I am setting a new standard assessment and want the pass rate in the population to be
90%. As a trial, I select 150 participants and ask them to complete the standard
assessment. I achieve 129 passes and 21 fails.
·
Null Hypothesis: Population Pass Rate equals 0.9
●
Alternative Hypothesis: Population Pass Rate not equal to 0.9*
Are the assumptions satisfied for me to proceed with the test?
Yes, I have at least 10 passes and 10 fails
O Yes, but I must use t instead of Z as the sample size is not very large
Yes, the sample size of 150 exceeds 30 so the central limit theorem will hold
Ne
Transcribed Image Text:I am setting a new standard assessment and want the pass rate in the population to be 90%. As a trial, I select 150 participants and ask them to complete the standard assessment. I achieve 129 passes and 21 fails. · Null Hypothesis: Population Pass Rate equals 0.9 ● Alternative Hypothesis: Population Pass Rate not equal to 0.9* Are the assumptions satisfied for me to proceed with the test? Yes, I have at least 10 passes and 10 fails O Yes, but I must use t instead of Z as the sample size is not very large Yes, the sample size of 150 exceeds 30 so the central limit theorem will hold Ne
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