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Rejection Point (Critical Value) for the Test Statistic
A rejection point (critical value) for a test statistic is a value with which the computed test statistic is compared to decide whether to reject or not reject the null hypothesis.
[Practice Problems] An investment consultant conducts two independent random samples of 5-year performance data for US and European absolute return hedge funds. The consultant decides to test whether the two means are statistically different from one another at a 0.05 level of significance. The two populations are assumed to be normally distributed with unknown but equal variances.
[Solutions] A
The t-statistic value of 0.4893 does not fall into the critical value rejection regions (≤ –1.984 or > 1.984). Instead it falls well within the acceptance region. Thus, H0 cannot be rejected; the result is not statistically significant at the 0.05 level.
Confidence Intervals for the Population Mean:error,A confidence:Unknown.normal.Population Variance Unknown—t-Distribution.of freedom for tα2 is n − 1
Rejection Point (Critical Value) for the Test Statistic:the result is not statistically significant at the 0.05 level.
Test Statistic:Test,Statistic. A test statistic is a quantity:whose value is the basis for deciding whether or not to;testthe F-distribution for an F-test.
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