ocmath_confidence_levels_for_mean
Description
Function to compute confidence levels for a mean.
Syntax
int ocmath_confidence_levels_for_mean( const double * pLevels, UINT nLevels, const tTestMean1SampleResults * tTestRes, double * pLCLs, double * pUCLs )
Parameters
- pLevels
- [Input] pointer to confidence levels, e.g. {0.9, 0.95, 0.99}
- nLevels
- [Input] number of levels in pLevels.
- tTestRes
- [Input] structure containing t-Test results from ocmath_one_sample_t_test
- pLCLs
- [Output] pointers to Lower Confidence Limits for mean
- pUCLs
- [Output] pointers to Upper Confidence Limits for mean
Return
Returns STATS_NO_ERROR on successful exit and a non-zero STATS error code on failure.
Examples
EX1
void ocmath_confidence_levels_for_mean_ex1()
{
vector vLevels = {0.9, 0.95, 0.99};
UINT nLevels = vLevels.GetSize();
HypotTestOptions HTO;
tTestMean1SampleResults tRes;
double mean = 0.0;
int tail = 1;
HTO.HypotValue = mean;
HTO.TailType = tail;
int nRet = ocmath_one_sample_t_test(vLevels, nLevels, &HTO, &tRes);
vector vLCLs, vUCLs;
vLCLs.SetSize(nLevels);
vUCLs.SetSize(nLevels);
nRet = ocmath_confidence_levels_for_mean(vLevels, nLevels, &tRes, vLCLs, vUCLs);
out_int("nRet=", nRet); //nRet = 0;
int ii;
//print out Lower Confidence Limits for mean
printf("vLCLs = {");
for(ii=0; ii<vLCLs.GetSize(); ii++)
{
printf("%f\t", vLCLs[ii]);
}
printf("}\n");
//print out Upper Confidence Limits for mean
printf("vUCLs = {");
for(ii=0; ii<vUCLs.GetSize(); ii++)
{
printf("%f\t", vUCLs[ii]);
}
printf("}\n");
}
Remark
See Also
ocmath_one_sample_t_test
header to Included
origin.h
Reference
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