Public Policy Analysis And Planning Paper

Week 5: One-Sample Hypothesis Testing CasesChristina Forrester QTN/561January 20, 2018One-Sample Hypothesis Testing CasesFor various reasons, it is often not possible to establish population statistics. Statistical inference is used to infer population statistics based on statistics calculated from a sample. Statistical inference may be divided into two areas. First is estimation and second is hypothesis testing. Estimation describes an unknown aspect of a population for example the average TV viewership of a certain broadcaster. Hypothesis testing is used to decide which of two complementary statements or claims are true. The statistical methods of inference are also called tests of significance. Hypothesis is always stated in terms of parameter of some claim, which has been made but has not been proved. This paper will use hypothesis testing to predict an election winner from exit polls in the first and decide whether a shipping plan will be profitable in the second case (Black, 2011).Case Study – Election ResultsThe objective of this case study is to describe the number (population) of votes the Democrat and Republican candidate will get in an election. Since there are only two candidates who