Confidence Interval Calculation

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The discussion centers on calculating a 99% confidence interval for a mean of 1203.26 with a standard deviation of 7.047. The initial calculation yields a confidence interval of 1203.26 ± 3, based on a z-value of 1.65. However, a discrepancy arises when using an online calculator, which suggests a margin of error closer to 5. Participants clarify that for a symmetric 99% confidence interval, the correct approach involves using the 99.5 percentile of the standard normal distribution, leading to confusion about the source of the 0.005 value. The conversation emphasizes the importance of understanding confidence levels and their implications in statistical calculations.
MMCS
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See attached for problem

Working:

Mean: 1203.26
Standard Deviation: 7.047

for 99% confidence interval, level of significance = 0.01
Therefore

0.5 - 0.01/2 = 0.45
Reading 0.45 from standard distribution table i get a value of 1.65

therefore confidence interval should be

1203.26 +/- (1.65*7.047)/√15

1203.26 +/- 3

however using this website to check my answer:

http://www.mccallum-layton.co.uk/tools/statistic-calculators/confidence-interval-for-mean-calculator/

It gives me a value of 5 (approx)

Thanks
 

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MMCS said:
See attached for problem

Working:

Mean: 1203.26
Standard Deviation: 7.047

for 99% confidence interval, level of significance = 0.01
Therefore

0.5 - 0.01/2 = 0.45
Reading 0.45 from standard distribution table i get a value of 1.65

therefore confidence interval should be

1203.26 +/- (1.65*7.047)/√15

1203.26 +/- 3

however using this website to check my answer:

http://www.mccallum-layton.co.uk/tools/statistic-calculators/confidence-interval-for-mean-calculator/

It gives me a value of 5 (approx)

Thanks

For a (symmetric) 99% confidence on a quantity X, you want a 0.5% chance that X is below below the lower limit and a 0.5% chance that X is above the upper limit. In other words, if U is the upper limit you want Pr{ X ≤ U} = 1-0.005 = 0.995. What is the 99.5 percentile on the standard normal distribution?
 
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Ray Vickson said:
For a (symmetric) 99% confidence on a quantity X, you want a 0.5% chance that X is below below the lower limit and a 0.5% chance that X is above the upper limit. In other words, if U is the upper limit you want Pr{ X ≤ U} = 1-0.005 = 0.995. What is the 99.5 percentile on the standard normal distribution?

Thanks for your reply, I'm not sure where the 0.005 value is from?
 
MMCS said:
Thanks for your reply, I'm not sure where the 0.005 value is from?

What is meant by x%?
 
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