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  1. Consider a small weight loss study of 40 patients. } After such a study is over, we want to make generalizations about a larger group (e.g. all similar patients in the nation), but, since it is a small …

  2. What is Inferential Statistics? Descriptive statistics describes data (for example, a chart or graph) and inferential statistics allows you to make predictions (“inferences”) from that data. With inferential …

  3. What is Causal Inference? Incumbency effect: What would have been the election outcome if a candidate were not an incumbent? Resource curse thesis: What would have been the GDP growth …

  4. This chapter discusses some of the basic concepts in inferential statistics. Details of particular inferential tests–t-test, correlation, contingency table analysis, etc.–are included in other chapters.

  5. Inferential statistics play a critical role in research and analysis by allowing researchers to make conclusions and generalizations beyond their study sample. By using inferential statistics, …

  6. The three following chapters are devoted to the theoretical foundation of inferential statistics, providing the necessary tools for understanding any type of inferential statistical test.

  7. Theses are the some situations in which inferential statistics is carried out to test the hypothesis and draw conclusion about the population.