Consider the hunger question. Define both the null and alternate statistical hypotheses you would use here to answer Super Size’s research question. If the p-value of your test was 0.0231, what would you conclude? Explain why, referring to a definition of p-value as you do so. Use 250 words or less to answer these questions.
P value is defined as probability of obtaining test results atleast as extreme as the result actually observed during the test assuming that the null hypothesis is correct. In simpler terms Lower the p value, high evidence for rejecting the Null Hypothesis. Now let To be the test statistic so mathematically P value is calculated as P[T>To] where T is the distribution of test statistic under Ho(Null Hypothesis). Here P value is given to be 0.0231 which is less than 0.05.Hence we reject Null Hypothesis at 5℅ level of significance. But can accept Ho at 1℅ Level of significance.
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