Rejection Regions and Alpha Levels
You, as a researcher, choose the alpha level you are willing to accept . For example, if you wanted to be 95% confident that your results are significant, you would choose a 5% alpha level (100% – 95%). That 5% level is the rejection region.
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The rejection region is the region where, if our test statistic falls, then we have enough evidence to reject the null hypothesis. If we consider the right- ...
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A rejection region (or a critical region) is the region (denoted by RR) that specifies the values of the observed TS for which the null hypothesis will be ...
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2 Nov 2018 · If you want to understand why hypothesis testing works, you should first have an idea about the significance level and the reject region.
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Duration: 7:50 Posted: 9 Jul 2020 VIDEO
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Duration: 5:46 Posted: 2 Mar 2012 VIDEO
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A critical region, also known as the rejection region, is a set of values for the test statistic for which the null hypothesis is rejected.
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The rejection region is the interval, measured in the sampling distribution of the statistic under study, that leads to rejection of the null hypothesis H 0 ...
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A rejection region (a.k.a. critical region) in a Null Hypothesis Statistical Test is a part of the parameter space such that observing a result that falls ...
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To reject the null, the tail used for the rejection region should cover the extreme values of the alternative hypothesis - the area in red. The z or t score is ...
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6 Nov 2017 · The decision rules are written below each figure. Standard normal distribution with upper tail at 1.645 and alpha=0.05. Rejection Region for ...
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if the value of the test statistic falls outside the critical region, then there is not enough evidence to reject the null hypothesis at the chosen significance ...
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In a two-sided test the null hypothesis is rejected if the test statistic is either too small or too large. Thus the rejection region for such a test ...
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calculate it using the sample data. 3. Comparison of test statistic ... tolerated, and then find a rejection region with that α. The resulting value of α is ...
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