Statistical Results Sample Clauses

Statistical Results. The model used in this study is free from perfect collinearity and heteroscedasticity by transforming the data using the mean-center and the output using the heteroscedasticity-consistent covariance estimators test in PROCESS version
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Statistical Results. In the last chapter we have presented the results of our regression model with conformity of data set according to the recommendations by the literature. Our results indicate conformance of the data set to the assumptions. Analysis of regression results has been the result of rigorous testing of data set, initially conceptualizing the item set through literature then conducting the survey personally. This stage was followed by the testing of unidimensionality and discriminant validity testing by using the principal component factor analysis. Finally, we reached at the regression analysis, we used the OLS technique and came up with the final results with all the necessary significance tests. Results indicate that facility of the credit is not influential on the logistic service quality performance. While the relationship of time and logistic performance is highly significant and influential on the relational norms. Interestingly, our finding that in the short term duration, the retailer keeps on buying from the same wholesaler encourages a further deep look in the study. The influence of purchase volume also, does not explain the variance in the relational norms as the size of the retailer is not influencing the nature of relationship with the wholesaler, due to mostly small size of the retailers and absence of an organized retail sector.
Statistical Results 

Related to Statistical Results

  • 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 Information Any third-party statistical and market-related data included in the Registration Statement, the Time of Sale Disclosure Package and the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate in all material respects.

  • 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.

  • MEDICAL REPORT The Agency/Department Head as a condition of granting sick leave with pay, may require medical evidence of sickness or injury acceptable to the Agency/Department. The acceptable medical evidence must be obtained from a medical practitioner currently treating the employee or the employee’s family member.

  • Statistics 1. Each Party shall provide to the other Party statistics that are required by domestic laws and regulations, and, upon request, other available statistical information as may be reasonably required for the purpose of reviewing the operation of the air services.

  • Medical Reports The following applies to all employees: The Employer agrees to pay the fee for medical reports required by the Employer for Sick Leave or Weekly Indemnity provisions to a maximum of fifty dollars ($50.00).

  • Technical Reports deliver to the Agent, and shall procure that the Manager shall deliver to the Agent, on request copies of the latest complete technical reports in respect of the Vessels.

  • Evaluation Results A. Evaluation results shall be used:

  • Medical Records Medical records relating to Trial Subjects that are not submitted to Sponsor may include some of the same information as is included in Trial Data; however, Sponsor makes no claim of ownership to those documents or the information they contain. c.

  • 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.

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