Course Hero Logo

SP_MOD_9-15_MERGED.pdf - Module No.: 9 I. Topic: Hypothesis...

Course Hero uses AI to attempt to automatically extract content from documents to surface to you and others so you can study better, e.g., in search results, to enrich docs, and more. This preview shows page 1 - 3 out of 47 pages.

NDDU-IBED-F-081Module No.: 9I.Topic: Hypothesis TestingII. Learning Targets:At the end of the lesson, I can..1. illustrate: (a) null hypothesis; (b) alternative hypothesis; (c) level of significance; (d) rejectionregion; and (e) types of errors in hypothesis testing2. identify the parameter to be tested given a real life problem.3. share learnings about mistakes/errors committed in the pass4. write legibly the claim, null and alternative hypothesis of a given real life problem in theanswer sheetIII. Introduction/Review/Content:In daily life, we make tentative explanation of facts about aparticular phenomenon by formulating hypothesis. Thishypothesis is may be correct or incorrect. We usually use asample to gather information and evidences that we need tovalidate our hypothesis.The data that we gather from this sample become the basis ofour decision whether we shall accept or reject our hypothesisregarding the entire population. This data is analyzed with theuse of appropriate statistical procedure to find outwhether ourhypothesis is accepted or not. The process is calledhypothesis testing.STEPS IN HYPOTHESIS TESTING1. Identify the claim and formulate the null and alternative hypothesis2. Set the following: level of significance; type of test (one-tail or two-tailed); test statistic to use(z-test or t-test); critical values; draw the rejection region.3. Compute the test value4. Make a decision whether to accept or reject the null hypothesis.5. Formulate a conclusion by answering the research question.Before we go to answering research questions or solving real-life problems in hypothesis testing,we need to understand first the meaning or nature of the following terms:null and alternativehypothesis; level of significance; rejection regions; and types of error in hypothesis testing.DefinitionHypothesisis an idea or explanation for something that is based on known facts buthas not yet been proved.Hypothesis Testingis a statistical method that is used in making statistical decisionsusing experimental data..
NDDU-IBED-F-081A. Statistical HypothesisIt is a statement about the numerical value of a population parameter.a.Null Hypothesis, symbolized by𝐻0, is a claim (or statement) about a populationparameter that is assumed to be true until it is declared false. It states that there is nodifferencebetween a parameter and a specific value, or that there isno differencebetween two parameters.b.Alternative Hypothesis, symbolize by𝐻1, is a claim about a population parameter thatwill be true if the null hypothesis is false. It states the existence of a difference between aparameter and a specific value, or statesthat there is difference between twoparameters.1. CLAIM: The average monthly income of Filipino families who belong to low incomebracket is Php. 8,000.

Upload your study docs or become a

Course Hero member to access this document

Upload your study docs or become a

Course Hero member to access this document

End of preview. Want to read all 47 pages?

Upload your study docs or become a

Course Hero member to access this document

Term
Spring
Professor
NoProfessor
Tags
Null hypothesis, Statistical hypothesis testing, researcher

Newly uploaded documents

Show More

Newly uploaded documents

Show More

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture