How do you determine if a hypothesis is true or false?

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Reading the Statistical Section of a Research Article.rtf
Reading the Statistical Section of a Research Article • How do you determine if a hypothesis is true or false? Researchers select a statistical test based on factors such as the number of variables to be analyzed, the level of measurement of the variables, the sampling procedure and the type of question being researched, e.g. relationship or differences. • How do you interpret the result of the statistical test in a research article? The result will be reported as a number, e.g. t=4.88, F=3.98, r=.78. (t is a t test, F is an ANOVA and r is a correlation.) • How do you know if the number reported proves the hypothesis? The numbers reported may be significant or not. In nursing a p value of .05 is often selected to determine significance, e.g. p=.01. A p value of <.05 means that the results are probably not caused by chance, and therefore we are fairly certain that the predicted relationship between the variables actually exists. How can the researcher be sure that the results are correct? (e.g. that a difference or relationship actually exists between variables) 
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