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分数比较大小常用方法汇总

(2016-11-23 15:03:17)
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分类: 公考随笔

  【导读】分数比较大小常用方法汇总。更多的事业单位,医疗招聘,农商行招聘,湖北省公务 员招考辅导尽在襄阳华图:xiangyang.huatu.com,咨询电话:0710—3512719,详细考试信息及资料可以加入襄阳市公考QQ交流群: 254024602 ,更多湖北招考信息可以关注微信公众号:htluoshen

  2017年国家公务员笔试考试即将来临,小伙伴们准备好了么?!那问题来了,还有半个月的时间,我们又该如何冲刺呢?小伙伴们准备好了吗?希望各位学员每天把自己做的题目中的相关方法或技巧进行归总,这样考试可以直接运用,对于资料分析题主要分2种题型:计算分数大小和比较分数大小。在这里,湖北华图产品教研部给大家分享以下七种分数比较大小常用方法。

  方法一:分数的性质

  分数比较大小的性质是分子大,分母小,则整个分数大;反之分子小,分母大,则整个分数小。data:image/png;base64,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

  方法二:看量级

  分数有明显量级差距时,可以直接看量级,量级大的分数就大,反之,量级小的分数就小。data:image/png;base64,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

  方法三:化同法

  化同法:把分子或分母同分为一样大小,近而再通过分数的性质来比较大小。

  方法四:差分法

  差分法:我们把分子、分母都较大的分数称为“大分数”,分子、分母都较小的分数称为“小分数”;差分定义:“大分数”和“小分数”分子、分母分别做差得到新的分数为“差分数”。

  差分法的基本法则:(1)若差分数>小分数,则大分数>小分数;(2)若差分数<小分数,则大分数<小分数;

  方法五:估算法

  估算分数的大小,通过大概的范围来比较分数的大小

  方法六:直除法

  直除法:四舍五入截取分母的三位有效数字,再进行“直除”,比较首两位的大小即可

  方法七:插值法

  “插值法”是指在计算数值或者比较数值大小的时候,运用一个中间值进行“参照比较”的速算方式。

  以上是华图产品教研部给大家分享的分数比较大小七大方法。以上七种方法掌握了吗?赶快拿真题来练练手吧!

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分数比较大小常用方法汇总

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