Running head: T-TESTS1StatisticsName of StudentInstitutional AffiliationName of ProfessorDate
T-TESTS2T-testsT-tests are the most common statistical data analysis procedures used for testing hypothesis in statistics (Fagerland, 2012, pp.12-78). We have several types of t-tests, but the most commonly used t-test is the two sample t-test also called the student’s t-test. The two sample t-test normally tests whether two independent populations have some different mean values. In our case, we’ll compare the real mean weight of a bag of chocolate chip cookies and the mean weight claimed by the industry.Our research question:Is there any difference between the real mean weight of a bag of chocolate chip cookies and the mean weight claimed by the industry? The null hypothesisThe real mean weight of a bag of chocolate chip cookies and the mean weight claimed by the industry are the same. The alternative hypothesisThere is a difference between the real mean weight of a bag of chocolate chip cookies and the mean weight claimed by the industry.To answer our research question, we shall first set a significance level of 0.05. We shall then compute the probability value (p-value) based on the real mean weight of a bag of chocolatechip cookies. The p-value represents the chances of obtaining different parameters as compared
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