a. What is hypothesis testing in statistics? Discuss b. Does Type I error being considered more...

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a. What is hypothesis testing in statistics? Discuss
b. Does Type I error being considered more serious than Type IIerror? Explain
c. What is the p-value of a test? Give an example

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Answers of ABCAHypothesis testing is a statistical method that is used in makingstatistical decisions using experimental data Hypothesis Testingis basically an assumption that we make about the populationparameterHypothesis testing was introduced by Ronald Fisher JerzyNeyman Karl Pearson and Pearsons son EgonPearsonThe main purpose of statistics is to test a hypothesis Forexample you might run an experiment and find that a certain drugis effective at treating headaches But if you cant repeat thatexperiment no one will take your results seriously A good exampleof this was the cold fusion discovery which petered into obscuritybecause no one was able to duplicate the resultsHypothesis testing is an act in statistics whereby an analyst testsan assumption regarding a population parameter The methodologyemployed by the analyst depends on the nature of the data used andthe reason for the analysis Hypothesis testing is used to inferthe result of a hypothesis performed on sample data from a largerpopulationKey terms and conceptsNull hypothesis Null hypothesis is a statistical hypothesis thatassumes that the observation is due to a chance factor Nullhypothesis is denoted by H0 1 2 which shows that there is nodifference between the two population meansAlternative hypothesis Contrary to the null hypothesis thealternative hypothesis shows that observations are the result of areal effectLevel of significance Refers to the degree of significance inwhich we accept or reject the nullhypothesis 100 accuracy is notpossible for See Answer

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