Asked by Athena Colleen on Jul 11, 2024
Verified
A university is studying the proportion of students retained in various years.Suppose the proportion of students retained in 2012 is P12 \text { P12 } P12 and the proportion of students retained in 2013 is P13\mathrm { P } 13P13 .A study found a 90% confidence interval for P12 \text { P12 } P12 - P13\mathrm { P } 13P13 is (-0.0398,0.0262) .Give an interpretation of this confidence interval.
A) We are 90% confident that the proportion of students retained in 2012 is between 3.98% less and 2.62% more than the proportion of students retained in 2013.
B) We know that 90% of students retained in 2013 is between 3.98% less and 2.62% more than 2012.
C) We know that 90% of students retained in 2012 is between 3.98% less and 2.62% more than 2013.
D) We are 90% confident that the proportion of students retained in 2013 is between 3.98% less and 2.62% more than the proportion of students retained in 2012.
E) We know that 90% of all random samples done on the population will show that the proportion of students retained in 2012 is between 3.98% less and 2.62% more than the proportion of students retained in 2013.
Confidence Interval
A range of values derived from sample data that is likely to contain the value of an unknown population parameter, with a certain level of confidence.
Retained Students
Students who have not progressed to the next academic grade or level as expected, often due to academic or other challenges.
- Gain insight into the notion of confidence intervals and their analytical interpretation.
- Investigate and interpret statistical evidence in the realm of health, societal, and behavioral analyses.
Verified Answer
SA
sahera adreesJul 12, 2024
Final Answer :
A
Explanation :
The confidence interval for P12−P13\text{P12} - \text{P13}P12−P13 being (-0.0398, 0.0262) means we are 90% confident that the true difference in proportions (2012's retention rate minus 2013's retention rate) lies within this interval. This translates to the retention rate in 2012 being anywhere from 3.98% lower to 2.62% higher than in 2013.
Learning Objectives
- Gain insight into the notion of confidence intervals and their analytical interpretation.
- Investigate and interpret statistical evidence in the realm of health, societal, and behavioral analyses.
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