A study only reports a 95% confidence interval that doesn't contain the null hypothesis value . Without reporting a p-value or a test statistic, they go on to reject the null hypothesis and conclude that there is enough evidence to suggest the true population mean is different from the hypothesized value Was this academically honest? As in: Assuming they are making no mathematical errors, are they leaving out any important information that, if you did the hypothesis test yourself, might make you come to a different conclusion than them (and obviously explain why or why not)