Common use of Statistical Analysis Clause in Contracts

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.

Statistical Analysis. 31 29 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 30 comparison of variances to determine if the OV and Quality Acceptance population variances 33 31 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 32 population means are equal. In addition to these two types of analyses, independent verification 35 33 and observation verification will also be used to validate the Quality Acceptance test results.

Statistical Analysis. 31 35 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 36 comparison of variances to determine if the OV and Quality Acceptance population variances 33 37 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 38 population means are equal. In addition to these two types of analyses, independent verification 35 39 and observation verification will also be used to validate the Quality Acceptance test results.