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The margin of error is reduced.

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Q: How does Increasing the sample size while keeping the same confidence level has what effect on the margin of error?
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Does increasing the margin of error decrease the length of the confidence interval?

It depends on whether it is the Type I Error or the Type II Error that is increased.

How do you find The margin of error for the confidence interval is?

Generally speaking an x% confidence interval has a margin of error of (100-x)%.

Why does margin of error increases while level of confidence increases?

The margin of error increases as the level of confidence increases because the larger the expected proportion of intervals that will contain the parameter, the larger the margin of error.

What Happens To The Width Of The Confidence Interval If You Decrease The Confidence Level Decrease The Sample Size or Decrease the margin of error?

The width of the confidence interval willdecrease if you decrease the confidence level,increase if you decrease the sample sizeincrease if you decrease the margin of error.

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.

What is the term used in Confidence intervals to refer to twice the margin of error?


What happens to the confidence interval as the standard deviation of a distribution increases?

The standard deviation is used in the numerator of the margin of error calculation. As the standard deviation increases, the margin of error increases; therefore the confidence interval width increases. So, the confidence interval gets wider.

Why does the margin of error increase as the confidence increases?

The margin of error is dependent on the confidence interval.I'll give you examples to understand it better.We know:Confidence Interval (CI) = x(bar) ± margin of error (MOE)MOE = (z confidence)(sigma sub x bar, aka standard error of mean)When CI = 95%, MOE = (1.96)(sigma sub x bar)When CI = 90%, MOE = (1.64)(sigma sub x bar)Naturally, the margin of error will decrease as confidence level decreases.

How do sample size confidence level and standard deviation affect the margin of error?

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In a poll of 100 adults 45 percent reported they believe in faith healing If the poll was based on 5000 adults would the confidence interval be wider or narrower?

The formula for margin of error is (Z*)*(Standard Deviation))/(sqrt(N)), so as N increases, the margin of error decreases. Here N went from 100 to 5000, so N has increased by 4900. This means the margin of error decreases. Since the confidence interval is the mean plus or minus the margin of error, a smaller margin of error means that the confidence interval is narrower.

How can one improve own contribution margin in the UK?

The factors that impact on the contribution margin are expenses and income or revenue. One can improve their own contribution margin by decreasing expenses or increasing their income.

What accurately describe the effect of increasing the sample size?

A sample size is a group which is sampled in surveys, statistics, and in the scientific method. Increasing a sample size might decrease or increase the margin of error, depending on what was being measured. For instance, a sample of 100 women who were pregnant, might increase or decrease the the margin of error for women who showed morning sickness while pregnant.

What determines an election poll's margin of error?

The confidence interval radius determines the margin of error. If you want more information visit:

What is meant by a 95 percent confidence interval?

Confidence IntervalsConfidence interval (CI) is a parameter with a degree of confidence. Thus, 95 % CI means parameter with 95 % of confidence level. The most commonly used is 95 % confidence interval.Confidence intervals for means and proportions are calculated as follows:point estimate ± margin of error.

From a population with a variance of 900 a sample of 225 items is selected At 95 percent confidence the margin of error is?


In a confidence interval what information does the margin of error provide?

The confidence interval consists of a central value and a margin of error around that value. If it is an X% confidence interval then there is a X% probability that the true value of the statistic in question lies inside the interval. Another way of looking at it is that if you took repeated samples and calculated the test statistic each time, you should expect X% of the test statistics to fall within the confidence interval.

What happens to the confidence interval if you increase the margin of error?

It depends on whether it is the Type I Error or the Type II Error that is increased.

Does increasing the variable cost increase the contribution margin?

Increase in variable cost reduces the contribution margin as following formula suggests”Contribution margin = Sales revenue – Variable Cost

Is it true that new margin settings take effect immediately in a document?


99 percent confidence interval Population mean 24.4 to 38.0 find the mean sample?

if the confidence interval is 24.4 to 38.0 than the average is the exact middle: 31.2, and the margin of error is 6.8

Compute the population mean margin of error for a 90 percent confidence interval when sigma is 4 and the sample size is 36?


What is margin of error for the rasmussen polls?

The margin of error in the Rasmussen poll is +/- 3 in which the confidence becomes 95%. These reports surveys were conducted by Pulse Opinion Research LLC. lately in 26, december in the year of 2012.

Is it true that the wider the confidence interval the less precise is the estimate?

All things being equal, a wider confidence interval (CI) implies a higher confidence. The higher confidence you want, the wider the CI gets. The lower confidence you want, the narrower the CI gets The point estimate will be the same, just the margin of error value changes based on the confidence you want. The formula for the CI is your point estimate +/- E or margin of error. The "E" formula contains a value for the confidence and the higher the confidence, the larger the value hence the wider the spread. In talking about the width of the CI, it is not correct to say more or less precise. You would state something like I am 95% confident that the CI contains the true value of the mean.

What happen when a person bought a stock on margin?

If they had bought a very large amount of stock on margin (and many did) and the "margin call" came in shortly after that with the market collapse (and it happened to countless people) they were, in effect, instantly bankrupt.

Does a new margin settings take effect immediately in a document?