Culminating-Output Performance Task You are a statistician. The head of the science department of a university invited you to give a lecture on science research procedures that focus on inferential statistics. This is intended for fourth year college students who will be conducting a scientific research as part of their final requirements for graduation. Prior to the lecture proper, you are to submit a copy of the lecture notes which is due for evaluation and reproduction. Your lecture notes will be evaluated based on its content, organization, accuracy, and relevance. Criteria Needs Improvement (1 Excellent (5 points) Satisfactory (3 points) point) Content & The lecture presents The lecture on The lecture presents valid contents on inferential statistics Delivery complete and valid contains less than 80% content on inferential inferential statistics but statistics.covering-all. covers.only-80-90% of. of the topics. presented. topics presented in the the topics discussed in in this module/s. Some module/s. Discussions this module/s. discussions are difficult are clear, Discussions are clear to understand and comprehensive, and and comprehensive but contain more than error free. contain on to three three errors. errors. Organization' Discussions follow a Discussions are Discussions are logical order, presented in logical incoherent and emphasizing the order but some topics unorganized. interrelationship of are misplaced. concepts. Accuracy Illustrative examples Illustrative examples in Discussions are included in the lecture the lecture are solved incoherent and provide complete and but contain one to two unorganized. error-free errors in the solution. computations. Alternative solutions to illustrative problems are presented Accuracy Illustrative examples Illustrative examples in More than two errors in included in the lecture the lecture are solved the solutions are provide complete and but contain one or two spooted. error-free errors in the solutions.. computations. Alternative solutions to illustrative problems are presented. Relevance The lecture projects a The message on the The message on the clear and convincing importance of importance of message on the inferential statistics in inferential statistics in importance of real life in evident, real life is not evident in inferential-statistics in though not clearly the lecture: real life. presented in the lecture