Statistical Measurement Sample Clauses

Statistical Measurement. 4.1 Qwest uses a statistical test, namely the modified “z-test,” for evaluating the difference between two means (i.e., Qwest and CLEC service or repair intervals) or two percentages (e.g., Qwest and CLEC proportions), to determine whether a parity condition exists between the results for Qwest and the CLEC(s). The modified z- tests shall be applicable if the number of data points are greater than 30 for a given measurement. For testing measurements for which the number of data points are 30 or less, Qwest will use a permutation test to determine the statistical significance of the difference between Qwest and CLEC. 4.2 Qwest shall be in conformance when the monthly performance results for parity measurements (whether in the form of means, percents, or proportions and at the equivalent level of disaggregation) are such that the calculated z-test statistics are not greater than the critical z-values as listed in Table 1, section 5.0. 4.3 Qwest shall be in conformance with benchmark measurements when the monthly performance result equals or exceeds the benchmark, if a higher value means better performance, and when the monthly performance result equals or is less than the benchmark if a lower value means better performance. The formula for determining parity using the modified z-test is: z = DIFF / σDIFF Where: DIFF = MQwest – MCLEC MQWEST = Qwest average or proportion MCLEC = CLEC average or proportion σDIFF = square root σQwest (1/ n CLEC + 1/ n Qwest)] σ2Qwest = calculated variance for Qwest nQwest = number of observations or samples used in Qwest measurement nCLEC = number of observations or samples used in CLEC measurement The modified z-tests will be applied to reported parity measurements that contain more than 30 data points. In calculating the difference between Qwest and CLEC performance, the above formula applies when a larger Qwest value indicates a better level of performance. In cases where a smaller Qwest value indicates a higher level of performance, the order is reversed, i.e., MCLEC - MQWEST. 4.3.1 For parity measurements where the number of data points is 30 or less, Qwest will apply a permutation test to test for statistical significance. Permutation analysis will be applied to calculate the z-statistic using the following logic: Calculate the modified z-statistic for the actual arrangement of the data Pool and mix the CLEC and Qwest data sets Perform the following 1000 times: Randomly subdivide the pooled data sets into two pools, one...
AutoNDA by SimpleDocs
Statistical Measurement. 4.1 CenturyLink QC uses a statistical test, namely the modified “z-test,” for evaluating the difference between two means (i.e., CenturyLink QC and CLEC service or repair intervals) or two percentages (e.g., CenturyLink QC and CLEC proportions), to determine whether a parity condition exists between the results for CenturyLink QC and the CLEC(s). The modified z-tests shall be applicable if the number of data points are greater than 30 for a given measurement. For testing measurements for which the number of data points are 30 or less, CenturyLink QC will use a permutation test to determine the statistical significance of the difference between CenturyLink QC and CLEC. 4.2 CenturyLink QC shall be in conformance when the monthly performance results for parity measurements (whether in the form of means, percents, or proportions and at the equivalent level of disaggregation) are such that the calculated z-test statistics are not greater than the critical z-values as listed in Table 1, section 5.0. 4.3 CenturyLink QC shall be in conformance with benchmark measurements when the monthly performance result equals or exceeds the benchmark, if a higher value means better performance, and when the monthly performance result equals or is less than the benchmark if a lower value means better performance. The formula for determining parity using the modified z-test is: z = DIFF / σDIFF Where: DIFF = MCenturyLink QC – MCLEC MCENTURYLINK QC = CenturyLink QC average or proportion MCLEC = CLEC average or proportion σDIFF = square root σCenturyLink QC (1/ n CLEC + 1/ n CenturyLink QC)] σ2CenturyLink QC = calculated variance for CenturyLink QC nCenturyLink QC = number of observations or samples used in CenturyLink QC measurement nCLEC = number of observations or samples used in CLEC measurement The modified z-tests will be applied to reported parity measurements that contain more than 30 data points.

Related to Statistical Measurement

  • Statistical Data The statistical, industry-related and market-related data included in the Registration Statement, the Sale Preliminary Prospectus, and/or the Prospectus are based on or derived from sources that the Company reasonably and in good faith believes are reliable and accurate, and such data materially agree with the sources from which they are derived.

  • Statistical, Demographic or Market-Related Data All statistical, demographic or market-related data included in the Registration Statement, the Disclosure Package or the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate and all such data included in the Registration Statement, the Disclosure Package or the Prospectus accurately reflects the materials upon which it is based or from which it was derived.

  • Statistical or Market-Related Data Any statistical, industry-related and market-related data included or incorporated by reference in the Time of Sale Disclosure Package, are based on or derived from sources that the Company reasonably and in good faith believes to be reliable and accurate, and such data agree with the sources from which they are derived.

  • Usage Measurement Usage measurement for calls shall begin when answer supervision or equivalent Signaling System 7 (SS7) message is received from the terminating office and shall end at the time of call disconnect by the calling or called subscriber, whichever occurs first.

  • 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.‌ b. A description or identification of the statistical sampling software package used by the IRO.‌

  • Mileage Measurement Where required, the mileage measurement for LIS rate elements is determined in the same manner as the mileage measurement for V&H methodology as outlined in NECA Tariff No. 4.

  • Measurement Should the State terminate this contract as herein provided, no fees other than fees due and payable at the time of termination shall thereafter be paid to the Engineer. In determining the value of the work performed by the Engineer prior to termination, the State shall be the sole judge. Compensation for work at termination will be based on a percentage of the work completed at that time. Should the State terminate this contract under paragraph (4) or (5) above, the Engineer shall not incur costs during the thirty-day notice period in excess of the amount incurred during the preceding thirty days.

  • Usage Statistics The Distributor shall ensure that the Publisher will provide access to both composite system-wide use data and itemized data for the Licensee, the Participating Institutions, individual campuses and labs, on a monthly basis. The statistics shall meet or exceed the most recent project Counting Online Usage of NeTworked Electronic Resources ("COUNTER") Code of Practice Release,3 including but not limited to its provisions on customer confidentiality. When a release of a new COUNTER Code of Practice is issued, the Distributor shall ensure that the Publisher will comply with the implementation time frame specified by COUNTER to provide usage statistics in the new standard format. It is more than desirable that the Standardized Usage Statistics Harvesting Initiative (SUSHI) Protocol4 is available for the Licensee to harvest the statistics.

  • Statistics The Parties shall endeavour to promote, in accordance with existing statistical cooperation activities between the Union and ASEAN, the harmonisation of statistical methods and practices including the gathering and dissemination of statistics, thus enabling them to use, on a mutually acceptable basis, statistics on trade in goods and services, foreign direct investment and, more generally, on any other area covered by this Agreement which lends itself to statistical data collection, processing, analysis and dissemination.

  • Measuring EPP parameters Every 5 minutes, EPP probes will select one “IP address” of the EPP servers of the TLD being monitored and make an “EPP test”; every time they should alternate between the 3 different types of commands and between the commands inside each category. If an “EPP test” result is undefined/unanswered, the EPP service will be considered as unavailable from that probe until it is time to make a new test.

Draft better contracts in just 5 minutes Get the weekly Law Insider newsletter packed with expert videos, webinars, ebooks, and more!