Specify the level of significance 3 Compute the value of the test statistic 4

Specify the level of significance 3 compute the value

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2.) Specify the level of significance. 3.) Compute the value of the test statistic. 4). Compute the p –value. 5.) Determine whether to reject H0. -The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H0) of a study question is true – the definition of ‘extreme’ depends on how the hypothesis is being tested. P is also described in terms of rejecting H0 when it is actually true, however, it is not a direct probability of this state. -The alternative hypothesis (H1) is the opposite of the null hypothesis; in plain language terms this is usually the hypothesis you set out to investigate. -If your P value is less than the chosen significance level then you reject the null hypothesis -Notes about Type I error: is the incorrect rejection of the null hypothesis ; maximum probability is set in advance as alpha ; is not affected by sample size as it is set in advance ; increases with the number of tests or end points (i.e. do 20 rejections of H0 and 1 is likely to be wrongly significant for alpha = 0.05) -Notes about Type II error: is the incorrect acceptance of the null hypothesis ; probability is beta ; beta depends upon sample size and alpha ; can't be estimated except as a function of the true population effect ; beta gets smaller as the sample size gets larger ;
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