Statistical Estimation Methods Sample Clauses

Statistical Estimation Methods. Several options are available for estimation of research models. It depends upon the relationship between dependent and independent variables. In most of the cases where we are judging the strength of relationship between dependent and independent variables with the effect of moderators and both the dependent and the independent variables are continuous in nature we use the multiple regression analysis (▇▇▇▇▇ and ▇▇▇▇▇, 1983). This is measured by the predictive validity coefficient of the model-R2. Regression analysis is considered highly important in statistical estimations that involve interaction effects. Thus we adopted multiple regression analysis with ordinary least square method. This method has been widely applied with studies of a similar nature (▇▇▇▇▇▇ and ▇▇▇▇▇▇▇▇, 2006).
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  • 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 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 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.

  • Program Evaluation The School District and the College will develop a plan for the evaluation of the Dual Credit program to be completed each year. The evaluation will include, but is not limited to, disaggregated attendance and retention rates, GPA of high-school-credit-only courses and college courses, satisfactory progress in college courses, state assessment results, SAT/ACT, as applicable, TSIA readiness by grade level, and adequate progress toward the college-readiness of the students in the program. The School District commits to collecting longitudinal data as specified by the College, and making data and performance outcomes available to the College upon request. HB 1638 and SACSCOC require the collection of data points to be longitudinally captured by the School District, in collaboration with the College, will include, at minimum: student enrollment, GPA, retention, persistence, completion, transfer and scholarships. School District will provide parent contact and demographic information to the College upon request for targeted marketing of degree completion or workforce development information to parents of Students. School District agrees to obtain valid FERPA releases drafted to support the supply of such data if deemed required by counsel to either School District or the College. The College conducts and reports regular and ongoing evaluations of the Dual Credit program effectiveness and uses the results for continuous improvement.

  • 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.‌