Significance Test, Confidence Interval, Both or Neither?
نویسنده
چکیده
It is reasonably well-known that you can usually get a significance test "for free" by constructing a confidence interval around an obtained statistic and seeing whether or not the corresponding hypothesized parameter is "captured" by the interval. If it isn't inside the 95% confidence interval, for example, reject it at the .05 significance level and conclude that the sample finding is statistically significant. If it is, don't reject it; the sample finding is not statistically significant at that level. So if you want a significance test you can either carry it out directly or get it indirectly via the corresponding confidence interval.
منابع مشابه
Chapter 6 Section 2
There is a direct relationship between a two-sided test and a confidence interval; that is a if my confidence interval is 95%, then the corresponding significance level, α, is 1 –0.95 = 0.05. Thus, we can see that since p-value < 0.05, which would result in a rejection of the null hypothesis; we will reject the assumed μ value, 30. Now, lets see the logic here. The test of significance just rej...
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ورودعنوان ژورنال:
- Clinical nursing research
دوره 26 3 شماره
صفحات -
تاریخ انتشار 2017