study was to quantify the association between post-partum depression and subsequent health outcomes, including beir homeless for at least some of the time between 2 and 3 years after giving birth. For brevity, this outcome will be referred to as "homeless" in the relevant questions. Of the 375 women who had post-partum depression, 75 were homeless. Of the 2,600 women who did not have post-partum depression, 286 were homeless. Consider this study, and other studies comparing outcomes (binary, continuous or time to event) between multiple populations. For such studies, based on random samples from such populations, why do we use confidence intervals?

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4. A study was conducted using a random sample of women who gave birth between 1998 and 2000. The purpose of the
study was to quantify the association between post-partum depression and subsequent health outcomes, including being
homeless for at least some of the time between 2 and 3 years after giving birth. For brevity, this outcome will be referred
to as "homeless" in the relevant questions. Of the 375 women who had post-partum depression, 75 were homeless. Of
the 2,600 women who did not have post-partum depression, 286 were homeless.
Consider this study, and other studies comparing outcomes (binary, continuous or time to event) between
multiple populations. For such studies, based on random samples from such populations, why do we use
confidence intervals?
Confidence intervals guarantee that the study results will be scientifically useful.
Confidence intervals account for the uncertainty in sample estimates that comes from the variation in such
estimates across different random studies of the same size.
Confidence intervals help validate that a study was well designed.
Confidence intervals account for uncertainty that arises because of problems with the study: for example, people
answering a question incorrectly, or a broken diagnostic tool.
Transcribed Image Text:4. A study was conducted using a random sample of women who gave birth between 1998 and 2000. The purpose of the study was to quantify the association between post-partum depression and subsequent health outcomes, including being homeless for at least some of the time between 2 and 3 years after giving birth. For brevity, this outcome will be referred to as "homeless" in the relevant questions. Of the 375 women who had post-partum depression, 75 were homeless. Of the 2,600 women who did not have post-partum depression, 286 were homeless. Consider this study, and other studies comparing outcomes (binary, continuous or time to event) between multiple populations. For such studies, based on random samples from such populations, why do we use confidence intervals? Confidence intervals guarantee that the study results will be scientifically useful. Confidence intervals account for the uncertainty in sample estimates that comes from the variation in such estimates across different random studies of the same size. Confidence intervals help validate that a study was well designed. Confidence intervals account for uncertainty that arises because of problems with the study: for example, people answering a question incorrectly, or a broken diagnostic tool.
Expert Solution
Step 1about confidence interval

confidence interval provides us the information about a range in which true values lies at particular significance level.

foreg 99% confidence interval provides the range under which true values lie at 1% significance level.

 

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