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NS220 - Applied Stats & Expermi Design

Course Description: NS 220 Applied Statistics and Experimental Design: The applied use of statistics in the natural sciences. This course will proved an overview of statistics important to biological investigation, hypothesis testing, sampling protocol, and experimental design. Emphasis will be placed on computer statistical packages, natural science data, and application and interpretation of these statistics. Students will be introduced to several common statistical tests, including one- and two-sample hypothesis testing, analysis of variance (ANOVA), correlation, regression, and chi-squared tests with nonparamentric alternatives briefly discussed. Prerequisite: MA 131 or higher. 3:0:3 (From catalog 2009-2010)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Applied Stats & Expermi Design FA2009Parkville DaytimeSC317HO3Hoffman, Brian L.8:00 - 8:50 AM
-M-W-F-
8/20/ 0View


NS220 - Applied Stats & Expermi Design

Course Description: NS 220 Applied Statistics and Experimental Design: The applied use of statistics in the natural sciences. This course will proved an overview of statistics important to biological investigation, hypothesis testing, sampling protocol, and experimental design. Emphasis will be placed on computer statistical packages, natural science data, and application and interpretation of these statistics. Students will be introduced to several common statistical tests, including one- and two-sample hypothesis testing, analysis of variance (ANOVA), correlation, regression, and chi-squared tests with nonparamentric alternatives briefly discussed. Prerequisite: MA 131 or higher. 3:0:3 (From catalog 2008-2009)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Applied Stats & Expermi Design FA2008Parkville DaytimeSC317HO3Hoffman, Brian L.8:00 - 8:50 AM
-M-W-F-
20/20/ 0View


NS220 - Applied Stats & Expermi Design

Course Description: The applied use of statistics in the natural sciences. This course will proved an overview of statistics important to biological investigation, hypothesis testing, sampling protocol, and experimental design. Emphasis will be placed on computer statistical packages, natural science data, and application and interpretation of these statistics.Students will be introduced to several common statistical tests, including one- and two-sample hypothesis testing, analysis of variance (ANOVA), correlation,regression, and chi-squared tests with nonparamentric alternatives briefly discussed. Prerequisite: MA 131 or higher. 3:0:3 (From catalog 2007-2008)
TitleSemesterCampusRoomSectionHoursFacultyReqTimesDaysStatusSyllabus
Applied Stats & Expermi Design FA2007Parkville DaytimeSC110HO3Gabor, Timothy M.8:00 - 8:50 AM
-M-W-F-
16/20/ 0View

Notes:

  • Spring 2010 COURSE SCHEDULE for PDCC, Metro and Online (printable PDF)
  • Summer 2010 COURSE SCHEDULE for PDCC, Metro and Online (printable PDF) Please use the class schedule at http://www.park.edu/course for the most recent class listing.
  • This class data was last updated on 11/21/2009 8:22:15 PM. Please check with your Campus Center for the most current updates.
  • Building abbreviations for Parkville Classrooms
    • AL = Alumni Hall
    • CERLAB = Ceramics Lab
    • CH = Chapel
    • CO = Copley
    • CQ = Copley Quad
    • HERR = Herr House
    • MA = Mabee Underground
    • MC = Mackay
    • SC = Science Hall
    • WOOD = Woodard Conference Center
  • The course listing is subject to change.
  • Status lists if the class is canceled or the number of people enrolled / maximum number of people / wait list for the class
  • If nothing appears, there is no class meeting the current qualifications (Ex. No Chemistry Classes being offered During Spring 1 at the Kansas City Accelerated Campus)
  • The following are abbreviations:
    • # - Permission of the Instructor Required
    • $ - Additional Course Fee
    • + - Pre-Requisite
    • GE - General Education
    • LL - Liberal Learning
    • MGE - Multi-Cultural General Education
    • MLL - Multi-Cultural Liberal Learning
  • HOS - This section is for Study Abroad Only.

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