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POPM 3240 Final Exam Review Questions And Correct Answers 2026.

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Outcome for logistic regression - Answer Dichotomous Outcome for linear regression - Answer Linear Incidence risk - Answer Proportion of unaffected individuals who on average will develop the disease of interest over a specified time period Prevalence is a function of what - Answer Incidence and duration Factors that increase prevalence - Answer Incidence Factors that decrease prevalence - Answer Cures and deaths Type 1 error - Answer Error of rejecting null when it is true (false claim) Alpha - Answer probability of a type 1 error Type II error - Answer Error of failing to reject the null when false (missed opportunity) Beta - Answer Probability of a type II error Power - Answer Ability of study to detect differences between groups when a real difference exists Power equation - Answer 1 - beta P value - Answer probability that a test statistic would be as large, or larger, than observed if the null hypothesis is true Sensitivity - Answer Proportion of diseased individuals that test positive or the probability that a truly diseased individual will test positive Sn - Answer a / (a+c)

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POPM 3240 Final Exam Review
Questions And Correct Answers 2026.
Outcome for logistic regression - Answer Dichotomous



Outcome for linear regression - Answer Linear



Incidence risk - Answer Proportion of unaffected individuals who on average will develop the
disease of interest over a specified time period



Prevalence is a function of what - Answer Incidence and duration



Factors that increase prevalence - Answer Incidence



Factors that decrease prevalence - Answer Cures and deaths



Type 1 error - Answer Error of rejecting null when it is true (false claim)



Alpha - Answer probability of a type 1 error



Type II error - Answer Error of failing to reject the null when false (missed opportunity)



Beta - Answer Probability of a type II error



Power - Answer Ability of study to detect differences between groups when a real difference
exists



Power equation - Answer 1 - beta



P value - Answer probability that a test statistic would be as large, or larger, than observed if
the null hypothesis is true



Sensitivity - Answer Proportion of diseased individuals that test positive or the probability that
a truly diseased individual will test positive



Sn - Answer a / (a+c)

, False negatives - Answer 1-Sn = false negative fraction



False negative fraction - Answer % of false negatives you can expect with a test



SnOUT - Answer Highly sensitive test + negative result = can be confidence in ruling the
disease out



Specificity - Answer Proportion of non-diseased individuals that test negative or the
probability that a truly disease-free person will test negative



Sp - Answer d/(b+d)



What does Sn tell you - Answer False negatives



What does Sp tell you - Answer False positives



SpIN - Answer If test is highly specific and get positive test, can be confidence in ruling the
disease in



PPV - Answer Proportion of test positives that are truly diseased (P(D+|T+))



Given a positive test, what is the probability that the individual is truly diseased? - Answer PPV



NPV - Answer Proportion of test negatives that are truly disease free (P(D-|T-))



Given a negative test, what is the probability that they are truly disease-free? - Answer NPV



Series - Answer + on both

- on just one

Increase Sp, decrease Sn

Fewer false +, more false -



Parallel - Answer + on just one

- on both

Increase Sn, decrease Sp

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