The study of dehydration technology and craft fabrication can be a learning paradigm in the secondary level and vocational schools to enhance the students’ knowledge and entrepreneurial skills as well. This is but a small contribution with the Dakar Framework for Action (2000) that not only basic education be learned by today’s students but acquisition of learning skills and knowledge for gainful employment and full participation in country’s society. The project’s goal is designed to help students improve academic competence, develop employability skills, implement a career plan and participate in a career pathway in preparation for post secondary education or careers in the food manufacturing or services sector after graduating from high school. This goal can be achieved through the mentors that can teach the students the food dehydration technology and craft fabrication for use of the process. The output of this study is a source material that the teachers can assimilate and disseminate by diffusion and induction technique.
Thesis Title: Development of a Source Material in Food Dehydration Craft Technology for the Secondary Schools by Engr. Mary Rose Florence S. Cobar, Doctor of Philosophy in Education
As an example, consider determining whether a suitcase contains some radioactive material. Placed under a Geiger counter , it produces 10 counts per minute. The null hypothesis is that no radioactive material is in the suitcase and that all measured counts are due to ambient radioactivity typical of the surrounding air and harmless objects. We can then calculate how likely it is that we would observe 10 counts per minute if the null hypothesis were true. If the null hypothesis predicts (say) on average 9 counts per minute, then according to the Poisson distribution typical for radioactive decay there is about 41% chance of recording 10 or more counts. Thus we can say that the suitcase is compatible with the null hypothesis (this does not guarantee that there is no radioactive material, just that we don't have enough evidence to suggest there is). On the other hand, if the null hypothesis predicts 3 counts per minute (for which the Poisson distribution predicts only % chance of recording 10 or more counts) then the suitcase is not compatible with the null hypothesis, and there are likely other factors responsible to produce the measurements.