What are the consequences of using a very lenient or a very strict significance level?

Jan 5, 2019 ... Rejecting a null hypothesis is basically saying "we don't have enough evidence to support the tenets of this hypothesis." Oct 3, 2016 ... A hypothesis test examines two propositions: the null hypothesis (or H0 for short), and the alternative (H1). The alternative hypothesis is what ... The first thing needed to know is that there are two Hypotheses called the Null Hypothesis (H0) and the Alternative Hypothesis (H1); they are mutually ... Aug 1, 2020 ... The null hypothesis is a default assumption stating that there is no effect or relationship between two phenomena—in other words, having no ... The null hypothesis is known as “no-change” or “no-difference” hypothesis. Which means there is no statistical difference between two data sets. The null is not rejected unless the hypothesis test shows otherwise. The null statement must always contain some form of equality (=, ≤ or ≥) Always write the ... The null hypothesis, or H0, represents the hypothesis of no change or no effect. In other words, the response being measured is unaffected by the experimental ... The null hypothesis is the idea that “even though you may have seen some effect, the effect could have happened by random chance” It's the idea that your ... Mar 12, 2023 ... The hypotheses are: H0:ρ=0. H1:ρ≠0. The null-hypothesis of a two-tailed test states that there is no correlation (there is not a linear ... In probability and statistics, the null hypothesis is a comprehensive statement or default status that there is zero happening or nothing happening. For example ...