2021 - Hypothesis Testing, P-values and Inference: When Thinking like a Statistician Makes Sense
Topics/Call fo Papers
Brief history of the scientific method
Examples of when scientific methods is useful, and when it is not are not.
5 steps for hypothesis testing:
Formulation of research questions and statistical hypotheses to explain and/or test phenomena.
Specify the statistical hypotheses
Choice of an appropriate test-statistic
Compute probability and determine if results are significant
Properly state conclusions and make inferences based on the test results
Why p-values are not enough. A review of effect sized and confidence intervals.
Suggestions for the best tests to use to address specific types research, and how to structure the study research questions accordingly:
Tests of mean differences
Tests of correlation/association
Examples of when scientific methods is useful, and when it is not are not.
5 steps for hypothesis testing:
Formulation of research questions and statistical hypotheses to explain and/or test phenomena.
Specify the statistical hypotheses
Choice of an appropriate test-statistic
Compute probability and determine if results are significant
Properly state conclusions and make inferences based on the test results
Why p-values are not enough. A review of effect sized and confidence intervals.
Suggestions for the best tests to use to address specific types research, and how to structure the study research questions accordingly:
Tests of mean differences
Tests of correlation/association
Other CFPs
Last modified: 2021-10-29 02:52:12