"over-reliance on the p-value to determine the plausibility of the null hypothesis ignores the pre-experiment likelihood that H0 or HA are true. For example, if one were to perform 100 experiments on the ability of individuals to perform a psychic feat, the likelihood of at least one of these experiments showing an effect due to random error is high."
"The null hypothesis (H0) is that there is no difference between groups being evaluated, while the alternative hypothesis (HA) is that there is a difference between groups. For example, in the National Lung Screening Trial (NLST), H0 is that there was no difference in lung cancer mortality between subjects screened for lung cancer with low dose CT and those screened with chest x-ray while HA is that there was a mortality difference. Hypothesis testing evaluates the plausibility of the null hypothesis in light of the data gathered in the trial."
"The null hypothesis (H0) is that there is no difference between groups being evaluated, while the alternative hypothesis (HA) is that there is a difference between groups. For example, in the National Lung Screening Trial (NLST), H0 is that there was no difference in lung cancer mortality between subjects screened for lung cancer with low dose CT and those screened with chest x-ray while HA is that there was a mortality difference. Hypothesis testing evaluates the plausibility of the null hypothesis in light of the data gathered in the trial."
"over-reliance on the p-value to determine the plausibility of the null hypothesis ignores the pre-experiment likelihood that H0 or HA are true. For example, if one were to perform 100 experiments on the ability of individuals to perform a psychic feat, the likelihood of at least one of these experiments showing an effect due to random error is high."
"rejecting H0 is not the same as accepting HA"
"p-value calculation"
"statistical significance (p-value"
"rejecting H0 is not the same as accepting HA"
Expected headings
"Null and alternative hypothesis"
"Data collection"
"p-value calculation"
"Null hypothesis rejection"
"Problems with hypothesis testing"