Is it possible to accept the alternative hypothesis?
The alternative hypothesis is also true of values outside the CI but more different from the null than the most extremely different value within the CI (e.g., if $\rm CI_{95\%}=[.6,.8]$, it wouldn't even be a problem for the alternative hypothesis if $\mathbb P(\rm head)=.9$).
r - How to read the alternative Hypothesis - Cross Validated
2016年8月28日 · Your alternative hypothesis is given in the output: The true mean is greater than that value. Given your low p value, you can reject the null hypothesis and conclude that, if, in the population from which your sample was randomly drawn, the true value of the mean was less than or equal to 261.33, it would be very unlikely to get a sample mean ...
Why do we need alternative hypothesis? - Cross Validated
2019年1月13日 · The alternative hypothesis is used to determine the appropriate test statistic for the test, which is equivalent to setting an ordinal ranking of all possible data outcomes from those most conducive to the null hypothesis (against the stated alternative) to those least conducive to the null hypotheses (against the stated alternative).
Should the alternative hypothesis always be the research …
2023年4月16日 · Now, the "alternative hypothesis". For the hypothesis testing framework there are two things that are commonly called 'alternative hypotheses'. The first is an arbitrary effect size that is used in the pre-data calculation of test power (usually for sample size determination). That alternative hypothesis is ONLY relevant before the data are in ...
Why can't we accept the null hypothesis, but we can accept the ...
2022年9月1日 · That 'alternative' hypothesis IS NOT tested by the hypothesis test and has very little meaning once the data are available. If you are doing a significance test then a small p-value implies that the data are inconsistent with the statistical model's expectations regarding probable observations where the null hypothesis is true.
Definition of alternative hypothesis - Cross Validated
2015年9月25日 · The Frequentist definition would be that the alternative hypothesis is the logical complement to the null hypothesis. The two hypotheses must be mutually exclusive, jointly cover the parameter space and be complementary.
t-test - The Alternative Hypothesis - Cross Validated
My alternative hypothesis (H1) is: The size of the board shall have a positive influence on the firm's performance. I have run a t-test in Stata between Board Size and Return on Assets (which, in this case, is my measure of firm performance) The results look a bit weird. I am unsure which of the alternative hypothesis I am meant to pick.
How to choose the null and alternative hypothesis?
2014年11月9日 · The rule for the proper formulation of a hypothesis test is that the alternative or research hypothesis is the statement that, if true, is strongly supported by the evidence furnished by the data. The null hypothesis is generally the complement of the alternative hypothesis. Frequently, it is (or contains) the assumption that you are making ...
r - Which "alternative" option should I choose for a Wilcoxon rank …
2022年4月30日 · a) The null hypothesis might be that X and Y have equal means, and then the alternative is that they do not. This is a two-sided hypothesis test. b) The null hypothesis might be that X has a greater mean than Y. In this case, the alternative hypothesis is that the mean of X is less than or equal to that of Y. This is a one-sided test. $\endgroup$
T-Test (independent samples) alternative hypothesis 1 [unequal …
2021年12月2日 · Alternative Hypothesis(2): Mean (Group 1) > Mean (Group 2) : Now, based on the p-value of alternative hypothesis 1, I cannot reject the null hypothesis i.e.the two means are not significantly different. This makes sense. The effect size (Cohen's D) is 0.135. What does not make sense to me is the p-value of the alternative hypothesis 2.