求解一个英文统计学的题,谁能给说下,要详细,不甚感谢

a manufacturer wants to increase the life of her product through a change in the inachining process. prior to the change in the process, a random sample of 100 items showed a mean life of 600 hours with a standard deviation of 40 hours. After the change, another random sample of 100 revealed a mean life of 612 hours with a standard deviation of 30 hours. At the .05 level, has there been a significant increase in product life?

题目是:一个生产厂商想要通过改变制造的过程来增加他们产品的使用寿命。在作改变之前,在一个样品数为100的随机样本中,使用寿命的平均值为600小时,标准差为40小时。改变之后,在另一个样品数为100的随机样本中,平均值为612小时,标准差为30小时。在0.05标准下产品寿命是否有显著改变?

这个问题用两样本t-test。由于两样本方差不同,需要用不同方差的t-test
测试量 t=(600-612)/s
s是均值差的标准差,通过下式计算:
s=根号下(s1^2/n1+s2^2/n2)=根号下(40^2/100+30^2/100)=5
所以 t=-12/5=-2.4
自由度=(s1^2/n1+s2^2/n2)^2/((s1^2/n1)^2/(n1-1)+(s2^2/n2)^2/(n2-1))=(40^2/100+30^2/100)^2/((40^2/100)^2/(100-1)+(30^2/100)^2/(100-1))=183.6
双侧 P=0.017
结论: 有显著改变
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