We describe a modified sequential probability ratio test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Examples are provided for $z$ tests, $t$ tests, and tests of binomial success probabilities. A description of a software package to implement the test designs is provided. We compare the sample sizes required in fixed design tests conducted at 5$\%$ significance levels to the average sample sizes required in sequential tests conducted at 0.5$\%$ significance levels, and we find that the two sample sizes are approximately equal.

翻译：我们描述了经修改的连续概率率测试,可用于减少在特定重要性和功率水平上进行统计假设测试所需的平均样本规模,例如以z美元进行测试,用美元进行测试,用二元成功概率测试,用美元进行测试,用美元描述用于实施测试设计的软件包,用5美元+美元进行固定设计测试所需的样本规模与按0.5美元+美元重量水平进行连续测试所需的平均样本规模,我们发现两种样本规模大致相等。