Statistical Testing Procedures Sample Clauses

Statistical Testing Procedures. Parity metric measurements that meet the sample size criteria in Section B will be evaluated according to the statistical test procedures defined below. These procedures test the null hypothesis that FairPoint NNE’s wholesale performance is at parity (at least equal to or better than FairPoint NNE’s retail performance) against the alternative hypothesis of no parity (that FairPoint NNE’s wholesale performance is worse than FairPoint NNE’s retail performance.) Exception: For parity metrics for which the small sample rules do not apply (as identified in Appendix4), if the sample size is insufficient for statistical testing but there is activity in retail (“ILEC activity”), performance will be evaluated based on a straight (not involving statistical procedures) comparison to retail performance to determine met or miss. In addition, for parity metrics identified as having small sample rule “3 months Roll Up” in Appendix4, the following procedures apply: • for each of the metrics with parity standards identified as having small sample rule “3 months Roll Up,” FairPoint will combine and report the numerator values and the denominator values as the sum of the three states for the ILEC and CLEC, respectively. • If, after combining the values from the three states, there is insufficient sample size for statistical testing (ILEC or CLEC) but there is ILEC and CLEC activity, CLEC performance will be determined based on a straight comparison to ILEC performance to determine whether CLEC performance is a met or miss. • If there is CLEC activity but no ILEC activity after combining the values from the three states, FairPoint will roll up the results for three months (i.e., 3 states across 3 months – the current month and the two previous months) and then do a straight comparison to ILEC performance to determine CLEC met or miss performance. • If there is still no ILEC activity after rolling up results over the three states and three months, CLEC results will be reported as “SS”.
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Related to Statistical Testing Procedures

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  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

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