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@RQ08 | ||
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����Javascript������ | ||
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@RQ09 | ||
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���������ϵ����emprical p-value | ||
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@RQ010 | ||
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����Support���档 |
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@T001 | ||
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Test title: test case for requirement 9 | ||
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Test for: RQ09 | ||
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Description: Empirical P value ��Ϊʵ�ʹ۲����ݶ������������ݼ����Pֵ.������������������ֵ�Ƿ���ȷ | ||
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Rationale:In statistics, significance testing is carried out by taking up two hypotheses to explain the statistical model for the process. First is null hypothesis which gives the simplest model. Another is alternative hypothesis, which is true if null hypothesis is proved wrong. These two hypotheses are tested against each other in terms of P- value. | ||
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Input:g1.json g2.json info.json | ||
Expected output: ��������ʾ��ȷ���Ͼ�ȷ��Empirical P value | ||
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Actual output:Empirical P value��������ʾ�ڱ����У����Ͼ�ȷ�� | ||
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Diagnosis: | ||
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Status: | ||
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Signature: He Keren | ||
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Date: | ||
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@T002 | ||
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Test title: test case for requirement 10 | ||
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Test for: RQ10 | ||
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Description: supportҳ����ʾ��ϸ������������ ������β�������������������ĸ�ʽ��ʹ�õļ����ȵȡ� | ||
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Input:�� | ||
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Expected output: supportҳ������ʾ��ȷ�ĸ��� | ||
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Actual output: supportҳ������ʾ��ȷ�ĸ��� | ||
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Diagnosis: | ||
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Status: | ||
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Signature: He Keren | ||
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Date: |
@KerenHHH
乱码。
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