The 95% confidence interval can tell us about ______ and ______. O Effect size; precision of the estimate O Internal validity; direction of the association O Strength of the association; direction of the association O Statistical significance; precision of the estimate.
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A 95% confidence interval provides a range of values within which we are 95% confident the true population parameter lies. Show more…
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Consider the study from the previous question and other studies comparing outcomes (binary, continuous, or time to event) between two (or more) 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 help validate that a study was well designed. Confidence intervals account for the uncertainty in sample estimates that comes from the random variation in such estimates across different studies of the same size. Confidence intervals account for uncertainty that arises because of problems with the study: for example, people answering a question incorrectly, or a data entry error.
Adi S.
discuss the importance of correct confidence interval determination on the accuracy of research study findings.
You can be 90% confident that the population mean price of the stock is outside the bounds of the 90% confidence interval, and 95% confident for the 95% interval. You can be 90% confident that the population mean price of the stock is between the bounds of the 90% confidence interval, and 95% confident for the 95% interval. You can be certain that the closing price of the stock was within the 90% confidence interval for approximately 38 of the 42 days and was within the 95% confidence interval for approximately 40 of the 42 days. You can be certain that the population mean price of the stock is either between the lower bounds of the 90% and 95% confidence intervals or the upper bounds of the 90% and 95% confidence intervals.
Joanna Q.
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