Statistics: Confidence Intervals

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To find the margin of error for a confidence interval of c=0.65, with a sample standard deviation (s) of 1.5 and a sample size (n) of 50, the zc value must be determined, which is not provided in standard charts. The zc value for c=0.65 is calculated to be approximately 0.93, which can be found using the Standard Normal Distribution table. To derive such a table independently, numerical integration of the normal distribution's probability density function (pdf) is suggested as the easiest method. Alternatively, a more complex approach involves using the error function. Understanding these methods can enhance the ability to calculate confidence intervals accurately.
Phrynichos
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The problem in question is as follows:

Find themargin of error for the given values of c, s, and n. where c is the confidence interval, s is the sample standard deviation and n is the number of objects.

c=0.65 s= 1.5 n=50

the formula: E= (zc s) / n^.5

Level of Confidence Chart

c ......zc
.80......1.28
.90......1.645
.95......1.96
.99.....2.575


As you can see, the zc value for c=.65 is not present on the chart. I don't know how to proceed to solve the problem by finding the corresponding zc for when c=.65. if anyone could show me, that would be appreciated.
thankx
 
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z_{c}=0.93 for c=0.65. Easy to find on your table for the Standard Normal Distribution.
 
Hey LearnFrench,

How do they determine the 0.93 statistic in the first place? Assuming I have no life, how could I derive a table on my own?

Thanks,
HF08
 
Numerical integration of the normal distribution's pdf would probably be the easiest way. The more traditional but also more complex way would start with the error function.
 

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