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Then, we make a conclusion based on our decision. This does not mean that we accept the null hypothesis. "Fail to reject the null hypothesis" is the same as "Do not reject the null hypothesis". We either reject the null the hypothesis or we do not reject the null hypothesis (or fail to reject the null hypothesis)īased on the result of the methods we used for the test. We make a decision based on the null hypothesis. We test the null hypothesis assuming it to be true. The null hypothesis is the statement that shows that the value of the population parameter is equal to some claimed value. We are testing a claim about a population standard deviation using a sample standard deviation.Ī hypothesis test is a procedure for testing a claim about a population parameter. We are testing a claim about a population variance using a sample variance. We are testing a claim about a population mean using a sample mean. We are testing a claim about a population proportion using a sample proportion. We are testing a claim about a population parameter using a sample statistic. If you answered "yes", then you are right!īring it to Logic: A hypothesis is defined as the premise of a conditional sattement.īring it to Science: A hypothesis is an unproven theory about a Scientific problem.īring it to Statistics: A hypothesis is a claim about a population parameter. Is Testing the Hypothesis also one of the methods? Is Forming a Hypothesis one of the methods? (17.) Discuss the power of a hypothesis test.Īsk students to list the steps in the Scientific Method (15.) Write the conclusion of the hypothesis test based on the decision. (14.) Write the decision of the hypothesis test based on the methods used. (13.) Test the hypothesis for a claim using the Confidence Interval Method. (12.) Test the hypothesis for a claim using the Probability Value Method (P-value Approach).
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(11.) Test the hypothesis for a claim using the Critical Method (Classical Approach). (10.) Disucss the three methods used in hypothesis testing. (9.) Identify the Type I and Type II errors in social cases. (8.) Identify the Type I and Type II errors from a claim. (7.) Discuss social injustice related to Type I and Type II errors. (6.) Explain the meaning of Type I and Type II errors. (5.) State the population parameter being tested. (3.) State the null and alternative hypothesis from a given claim. (2.) Explain the meaning of null and alternative hypothesis. (1.) Discuss the meaning of hypothesis testing.