Let's try to develop a general framework for decision making, into which all our examples will fit. Fill in the following blanks with the appropriate word from the word bank. Options may be re-used for more than one blank or not used at all. The basic structure of testing a hypothesis is the following: Setting up your question: ______1______: For a fully specified chance model under which you can simulate the data, it hypothesizes that the data were generated as if by random selection, according to the particulars of the chance model. ______2______: States that there is some process other than the chance model that generated the data. Choose a ______3______: A value that can be computed for the observed data and and also for random samples from the chance model. The magnitude of the ______4______ should help you determine whether the distribution of data are consistent with the ______5______. When this value is computed for the observed data, it is called the ______6______. Simulate under the ______7______: Use random sampling to create a(n) ______8______ of the test statistic in order to approximate the ______9______ of this statistic, which is called its ______10______, assuming that the chance model is true. Conclusion: P-value: The probability under the chance model that the ______11______ is equal to the ______12______ or ever further in the direction of the ______13______. ______14______: The maximum ______15______ for which you choose to reject the null hypothesis in favor of the ______16______. A typical value is 5%. Fill in the Blanks Null Hypothesis Alternative Hypothesis Observed Value of the Test Statistic Test Statistic Observed Value of the Test Statistic P-Value [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling Distribution [ Select ] Null Hypothesis Probability Distribution P-Value Observed Value of the Test Statistic Alternative Hypothesis Test Statistic P-Value Cutoff Empirical Distribution Sampling DistributionMultiple dropdown selections