Difference between revisions of "Manuals/calci/CONFIDENCE"
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(Created page with "<div id="6SpaceContent" class="zcontent" align="left"> <font size="3"><font face="Times New Roman">'''CONFIDENCE''' ('''alpha''',''' SD''',''' n''')</font></font> <font ...") |
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− | <div | + | <div style="font-size:30px">'''CONFIDENCE (Alpha,StandardDeviation,Size)'''</div><br/> |
+ | *<math>Alpha</math> is alpha value which is indicating the significance level. | ||
+ | *<math>StandardDeviation</math> is the value of the standard deviation. | ||
+ | *<math>Size</math> is the size of the sample. | ||
+ | **CONFIDENCE(), returns the confidence interval for a population mean. | ||
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− | + | ==Description== | |
+ | *This function gives value of the confidence intervals. | ||
+ | *Confidence intervals are calculated based on the standard error of a measurement. | ||
+ | *It is measures the probability that a population parameter will fall between lower bound and upper bound of the values. | ||
+ | *There are four steps to constructing a confidence interval. | ||
+ | 1. Identify a sample statistic. | ||
+ | 2. Select a confidence level. | ||
+ | 3. Find the margin of error. | ||
+ | 4. Specify the confidence interval. | ||
+ | *Normally once standard error value is calculated, the confidence interval is determined by multiplying the standard error by a constant that reflects the level of significance desired, based on the normal distribution. | ||
+ | *In <math>CONFIDENCE (Alpha,StandardDeviation,Size)</math> , <math>Alpha</math> is the alpha value which is indicating the significance level used to find the value of the confidence level. | ||
+ | *It equals <math>100*(1-Alpha)%</math>, or alpha of 0.05 indicates a 95 percent confidence level. | ||
+ | *This value is <math> \pm </math> 1.96 | ||
+ | *<math> StandardDeviation </math> is the standard deviation of the population for the data range. | ||
+ | *<math> Size </math> is the size of the sample. | ||
+ | *Confidence interval is calculated using the following formula: | ||
+ | <math>Confidence interval = sample statistic + Margin of error</math>. | ||
+ | *So <math> confidence interval =\bar{x}\pm 1.96(\frac{\sigma}{\sqrt {s}})</math> | ||
+ | *where <math>\bar{x}</math> is the sample mean,sigma is the standard deviation. | ||
+ | *This function will give the result as error when | ||
+ | 1. Any one of the argument is nonnumeric. | ||
+ | 2.Suppose <math>0\le Alpha\le1 </math> | ||
+ | 3. value of s is less than 1. | ||
+ | *Suppose with the population of 10 for the standard deviation 3.2, with the alpha value 0.2 then, CONFIDENCE(0.2,3.2,10) =1.296839. | ||
+ | *So the Confidence interval value is <math> 10\pm 1.296839= approximately[11.29,8.70]</math>. | ||
− | + | ==ZOS== | |
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− | < | + | *The syntax is to calculate CONFIDENCE in ZOS is <math>CONFIDENCE (Alpha,StandardDeviation,Size)</math>. |
+ | **<math>Alpha</math> is value of the significance level. | ||
+ | *<math>Size</math> is the size of the sample. | ||
+ | *For e.g., CONFIDENCE(0.2,3.1,20) | ||
+ | *CONFIDENCE(0.67,8.3..10.3,51) | ||
− | + | ==Examples== | |
− | + | #=CONFIDENCE(0.6,4.6,20) = 0.539393789 | |
− | + | #=CONFIDENCE(0.09,8.1,25) = 2.746544290 | |
+ | #=CONFIDENCE(0.001,18.8,50) = 8.74859415 | ||
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− | + | ==Related Videos== | |
− | + | {{#ev:youtube|siqx4PbqJ6s|280|center|CONFIDENCE}} | |
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− | + | ==See Also== | |
− | + | *[[Manuals/calci/ZTEST | ZTEST ]] | |
− | + | *[[Manuals/calci/ZTESTEQUALMEANS | ZTESTEQUALMEANS ]] | |
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− | + | ==References== | |
+ | [http://en.wikipedia.org/wiki/Confidence_interval CONFIDENCE] | ||
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− | + | *[[Z_API_Functions | List of Main Z Functions]] | |
− | + | *[[ Z3 | Z3 home ]] | |
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Latest revision as of 15:20, 7 August 2018
CONFIDENCE (Alpha,StandardDeviation,Size)
- is alpha value which is indicating the significance level.
- is the value of the standard deviation.
- is the size of the sample.
- CONFIDENCE(), returns the confidence interval for a population mean.
Description
- This function gives value of the confidence intervals.
- Confidence intervals are calculated based on the standard error of a measurement.
- It is measures the probability that a population parameter will fall between lower bound and upper bound of the values.
- There are four steps to constructing a confidence interval.
1. Identify a sample statistic. 2. Select a confidence level. 3. Find the margin of error. 4. Specify the confidence interval.
- Normally once standard error value is calculated, the confidence interval is determined by multiplying the standard error by a constant that reflects the level of significance desired, based on the normal distribution.
- In , is the alpha value which is indicating the significance level used to find the value of the confidence level.
- It equals , or alpha of 0.05 indicates a 95 percent confidence level.
- This value is 1.96
- is the standard deviation of the population for the data range.
- is the size of the sample.
- Confidence interval is calculated using the following formula:
.
- So
- where is the sample mean,sigma is the standard deviation.
- This function will give the result as error when
1. Any one of the argument is nonnumeric. 2.Suppose 3. value of s is less than 1.
- Suppose with the population of 10 for the standard deviation 3.2, with the alpha value 0.2 then, CONFIDENCE(0.2,3.2,10) =1.296839.
- So the Confidence interval value is .
ZOS
- The syntax is to calculate CONFIDENCE in ZOS is .
- is value of the significance level.
- is the size of the sample.
- For e.g., CONFIDENCE(0.2,3.1,20)
- CONFIDENCE(0.67,8.3..10.3,51)
Examples
- =CONFIDENCE(0.6,4.6,20) = 0.539393789
- =CONFIDENCE(0.09,8.1,25) = 2.746544290
- =CONFIDENCE(0.001,18.8,50) = 8.74859415
Related Videos
See Also
References