Andrew F Siegel, in Practical Business Statistics (Seventh Edition), 16 Hypothesis testing uses data to decide between two possibilities (called hypotheses) 1 It can tell you whether the results you are witnessing are just coincidence (and could reasonably be due to chance) or are likely to be real Some people think of hypothesis testing as a way of using statistics to make decisions Accepting or rejecting the null hypothesis based on pvalue and R value Based on the correlation of two measures in the following plot The pvalue tells there is a significant correlation between the two measures but the correlation coefficient R is close to zero that means there is no evidence of any relationship Therefore, we reject the null hypothesis, and accept the alternative hypothesis However, if the p value is below your threshold of significance (typically p < 005), you can reject the null hypothesis, but this does not mean that there is a 95% probability that the alternative hypothesis is true
Ap Statistics More About Tests And Intervals Ppt Download
