Statistically significant differences Sample Clauses

Statistically significant differences. Large sample sizes may inflate measures of statistical significance and may lead to false conclusions about the strength of association. The chi-square measure of association, in particular, is susceptible to this possibility. Therefore, the standards for designating whether a relationship can be termed statistically significant have been increased: the Xxxxxxx’x xxx-square must have probability of a type 1 error of less than .001 and either the Phi coefficient or Xxxxxx’x V must have a value of .150 or greater. Throughout this document, any differences reported meet these criteria, unless otherwise stated. Xxxxxxx’x xxx-square <.001 Phi coefficient or Xxxxxx’x V .150 or higher Non-responses have not been included in the analysis. Therefore, throughout this report, unless explicitly stated as a subpopulation, overall results exclude those who did not respond to a particular question.
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Statistically significant differences. Large sample sizes may inflate measures of statistical significance and may lead to false conclusions about the strength of association. The chi-square measure of association, in particular, is susceptible to this possibility. Therefore, the standards for designating whether a relationship can be termed statistically significant have been increased: the Xxxxxxx’x xxx-square must have probability of a type 1 error of less than .001 and either the Phi coefficient or Xxxxxx’x V must have a value of .150 or greater. Throughout this document, any differences reported meet these criteria, unless otherwise stated.
Sample 1Sample 2Sample 3See All (6)
Statistically significant differences. Large sample sizes may inflate measures of statistical significance and may lead to false conclusions about the strength of association. The chi-square measure of association, in particular, is susceptible to this possibility. Therefore, we increased the standards for designating whether a relationship can be termed ―statistically significant.‖ The benchmarks shown in Table 5 must be met for us to term an association statistically significant; the Xxxxxxx’x xxx- square must have probability of a type 1 error of less than .001 and either the Phi coefficient or Xxxxxx’x V must have a value of .150 or greater. Throughout this document, any differences reported meet these criteria, unless otherwise stated. Xxxxxxx’x xxx-square <.001 Phi coefficient or Xxxxxx’x V .150 or higher Unlike previous years, non-responses have not been included in the analysis. Therefore, throughout this report, unless explicitly stated as a subpopulation, overall results do not include those who did not respond to a particular question. However, for questions where ―don’t know‖ is a valid response, overall results include those who selected ―don’t know‖ to a particular question, although they are not always shown in a table. Therefore, responses to some questions may not sum to 100%.
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Related to Statistically significant differences

  • 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.

  • 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.‌

  • Securing Physical Facilities DST shall maintain systems located in DST facilities that host Fund Data or provide services under the Agreement in an environment that is designed to be physically secure and to allow access only to authorized individuals. A secure environment includes the availability of onsite security personnel on a 24 x 7 basis or equivalent means of monitoring locations supporting the delivery of services under the Agreement.

  • 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.

  • Historically Underutilized Businesses (“HUBs”). In accordance with state law, it is TFC’s policy to assist HUBs whenever possible to participate in providing goods and services to the agency. TFC encourages those parties with whom it contracts for the provision of goods and services to adhere to this same philosophy in selecting subcontractors to assist in fulfilling PSP’s obligations with TFC. If PSP subcontracts with others for some or all of the services to be performed under an Assignment to this Agreement, PSP shall comply with all HUB requirements pursuant to Chapter 2161 of the Texas Government Code. At or prior to the execution of an Assignment with a value that is anticipated to meet or exceed One Hundred Thousand and No/100 Dollars ($100,000.00), PSP must provide a completed HUB Subcontracting Plan, which shall be approved by TFC prior to execution of the Assignment. A copy of the HUB Subcontracting Form is attached hereto and incorporated herein for all purposes as Exhibit G. PSP shall provide the HUB Program of TFC with pertinent details of any participation by a HUB in fulfilling the duties and obligations arising under an Assignment, on the HUB Subcontracting Plan Progress Assessment Report (“PAR”). A copy of the PAR Form is attached hereto and incorporated herein for all purposes as Exhibit H.

  • DISADVANTAGED BUSINESS ENTERPRISE OR HISTORICALLY UNDERUTILIZED BUSINESS REQUIREMENTS The Engineer agrees to comply with the requirements set forth in Attachment H, Disadvantaged Business Enterprise or Historically Underutilized Business Subcontracting Plan Requirements with an assigned goal or a zero goal, as determined by the State.

  • Bilingual Differential When formally assigned in the employee’s position description, an employee assigned to interpret to or from another language to English will receive a differential of five percent (5%) of base pay.

  • Statistical and Market-Related Data Any statistical and market-related data included in the Registration Statement, the General Disclosure Package or the Prospectus are based on or derived from sources that the Company believes, after reasonable inquiry, to be reliable and accurate and, to the extent required, the Company has obtained the written consent to the use of such data from such sources.

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