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Q: 52 of 1000 registered voters intend to vote for steven Collins for mayor. What is the 95 confidence interval to describe the total percentage of registered voters who intend to vote for Steven Collins?
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Related questions

What percentage of time will the population proportion not be found within the confidence interval?

What percentage of times will the mean (population proportion) not be found within the confidence interval?


What is the most controllable method of increasing the precision of or narrowing the confidence interval?

Confidence intervals represent an interval that is likely, at some confidence level, to contain the true population parameter of interest. Confidence interval is always qualified by a particular confidence level, expressed as a percentage. The end points of the confidence interval can also be referred to as confidence limits.


What is confidence intervals in statistics?

The Confidence Interval is a particular type of measurement that estimates a population's parameter. Usually, a confidence interval correlates with a percentage. The certain percentage represents how many of the same type of sample will include the true mean. Therefore, we would be a certain percent confident that the interval contains the true mean.


Why confidence interval useful?

Why confidence interval is useful


What happens to the confidence interval if you increase the confidence level?

The confidence interval becomes wider.


What Confidence interval is 0.05 alpha?

how are alpha and confidence interval related


The width of a confidence interval is equal to twice the value of the margin of error?

No. The width of the confidence interval depends on the confidence level. The width of the confidence interval increases as the degree of confidence demanded from the statistical test increases.


When population distribution is right skewed is the interval still valid?

You probably mean the confidence interval. When you construct a confidence interval it has a percentage coverage that is based on assumptions about the population distribution. If the population distribution is skewed there is reason to believe that (a) the statistics upon which the interval are based (namely the mean and standard deviation) might well be biased, and (b) the confidence interval will not accurately cover the population value as accurately or symmetrically as expected.


What happens to the confidence interval as the mean decreases?

The confidence interval is not directly related to the mean.


What happens to the confidence interval if you increase the sample size?

The confidence interval becomes smaller.


Is a 95 percent confidence interval for a mean wider than a 99 percent confidence interval?

No, it is not. A 99% confidence interval would be wider. Best regards, NS


YOU MEET 80 RANDOMLY SELECTED VOTERS AND FIND THAT 54% SUPPORT A CANDIDATE FOR THE LEGISLATURE OF MONAGAS. USING A CONFIDENCE LEVEL OF 95% CALCULATE THE LIMIT OF PERCENTAGE OF VOTERS WHO PREFER THE REFERRED CANDIDATE?

The confidence interval for this problem can be calculated using the following formula: Confidence Interval = p ± z*√(p*(1-p)/n) Where: p = observed proportion (54%) n = sample size (80) z = z-score (1.96) Confidence Interval = 0.54 ± 1.96*√(0.54*(1-0.54)/80) Confidence Interval = 0.54 ± 0.07 Therefore, the confidence interval is 0.47 - 0.61, meaning that we can be 95% confident that the percentage of voters who prefer the referred candidate is between 47% and 61%.