PNB 3RM3 Chapter Notes - Chapter 13: Null Hypothesis, Statistical Inference, Statistic
7 Oct 2020
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Corresponding values in the population are called parameters": ex: a researcher measures the number of depressive symptoms exhibited by 50 clinically depressed adults and computes the mean number of symptoms. The researcher wants to use this sample statistic (the mean number of symptoms for the sample) to draw conclusions about the corresponding population parameter (the mean number of symptoms for clinically depressed adults). Null hypothesis testing = a formal approach to deciding between two interpretations of a statistical relationship in a sample: one interpretation = the null hypothesis (h0) . Although there are many null hypothesis testing techniques, they are all based on the same general logic: (1) assume for the moment that the null hypothesis is true: If it would not be extremely unlikely, then retain the null hypothesis. Practical significance: refers to the importance or usefulness of the significant result in the real-world context some basic null hypothesis tests: the t-test three types:
