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The width of the confidence interval decreases as the sample size increases. The width increases as the standard deviation increases. The width increases as the confidence level increases (0.5 towards 0.99999 – stronger).Click to see full answer. Keeping this in view, how can you decrease the width of a confidence interval?d) To reduce the width of a confidence interval by a factor of two (i.e., in half), you have to quadruple the sample size. True, as long as we’re talking about a CI for a population percentage. The standard error for a population percentage has the square root of the sample size in the denominator. what is considered a wide confidence interval? Intervals that are very wide (e.g. 0.50 to 1.10) indicate that we have little knowledge about the effect, and that further information is needed. A 95% confidence interval is often interpreted as indicating a range within which we can be 95% certain that the true effect lies. Also Know, what 3 elements can influence the width of a confidence interval? The width of a confidence interval is affected by 3 measures: the value of the multiplier t* (which is driven by both the confidence level and the sample size), the standard deviation s of the original data, and the sample size n used for the data collection.Is a smaller confidence interval better?Apparently a narrow confidence interval implies that there is a smaller chance of obtaining an observation within that interval, therefore, our accuracy is higher. Also a 95% confidence interval is narrower than a 99% confidence interval which is wider. The 99% confidence interval is more accurate than the 95%.

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