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

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โˆ™ 2009-04-02 00:47:13
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Q: Is a 95 percent confidence interval for a mean wider than a 99 percent confidence interval?
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When the sample size and sample standard deviation remain the same a 99 percent confidence interval for a population mean will be narrower than the 95 percent confidence interval for the mean?

Never!


What happens to the confidence interval as the mean decreases?

The confidence interval is not directly related to the mean.


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


What does a confidence interval for a population mean constructed from sample data show?

A confidence interval of x% is an interval such that there is an x% probability that the true population mean lies within the interval.


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.


When comparing the 95 percent confidence and prediction intervals for a given regression analysis what is the relation between confidence and prediction interval?

Confidence interval considers the entire data series to fix the band width with mean and standard deviation considers the present data where as prediction interval is for independent value and for future values.


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.


When determining the 95 percent confidence interval for a population mean with known sigma the value of the critical value of z is equal to?

1.96


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

1.0966


Compute the population mean margin of error for a 99 percent confidence interval when sigma is 4 and the sample size is 36?

The mean plus or minus 2.576 (4/sqr.rt. 36)= 1.72 So take your average plus or minus 1.72 to get your confidence interval


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.


What does it mean to have 95 percent confidence in an interval estimate?

It means that 95% of the values in the data set falls within 2 standard deviations of the mean value.


How do you calculate confidence interval?

Confidence intervals may be calculated for any statistics, but the most common statistics for which CI's are computed are mean, proportion and standard deviation. I have include a link, which contains a worked out example for the confidence interval of a mean.


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?


Does the population mean have to fall within the confidence interval?

No. For instance, when you calculate a 95% confidence interval for a parameter this should be taken to mean that, if you were to repeat the entire procedure of sampling from the population and calculating the confidence interval many times then the collection of confidence intervals would include the given parameter 95% of the time. And sometimes the confidence intervals would not include the given parameter.


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.


A laboratory tested eleven chickens and found that the mean amount of cholesterol was 244 milligrams with s equals 24.92 milligrams Construct a 95 percent confidence interval for the true mean cholest?

12


How do you calculate Confidence intervals?

Confidence intervals may be calculated for any statistics, but the most common statistics for which CI's are computed are mean, proportion and standard deviation. I have include a link, which contains a worked out example for the confidence interval of a mean.


The percentage that is one standard deviation away from mean?

For normally distributed data. One standard deviation (1σ)Percentage within this confidence interval68.2689492% (68.3% )Percentage outside this confidence interval31.7310508% (31.7% )Ratio outside this confidence interval1 / 3.1514871 (1 / 3.15)


Which three elements are necessary for calculating a confidence interval?

Variance, t-value, sample mean


How do you find the population mean for a 95 percent confidence interval?

It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).


How do i construct a 99 confidence interval?

Mean plus or minus 1.95 SEM. Mean minus 1,95 SEM to Man plus 1,95 SEM.


When you use a confidence interval to reach a conclusion about the population mean you are applying a type of reasoning or logic called?

normal distribution


How do i construct a confidence interval?

Typically, the mean is the center and the interval extends a fixed number of standard-errors-of-the mean in wither direction. M+/- 1 SEM for example. I guess because you don't know, I should give you the simplest.


For a sample of 140 randomly selected patients the mean amount spent was 86.50 and the standard deviation was 11.45. What is a 95 percent confidence interval for the mean?

sample size, n = 140standard deviation, s = 11.45standard error of the mean, SE = s / n^1/2 = 11.45 / 140^1.2 = 0.967795% confidence interval => mean +- 1.96SE95% CI = 86.5 - 1.96*0.9677; 86.5 + 1.96*0.9677= 84.6; 88.4