公务员考试网 发表于 2022-6-22 18:40:05

2022国考资料分析的常用速算技巧

距离 国考笔试 考试 的日期越来越近, 很多考生已经对国考的考试形式与知识点的考查范围有所了解,但仍然有一些考生近期跟图图老师吐槽一些 在 学习资料分析中 遇到 的困惑,尤其是 很多考生将课上老师讲的知识点进行了整理归纳,但在做题的过程中却无从下手 ,甚至很多考生开始质疑自己的学习能力,其实并不是自己的学习能力未达标,而是突然间给大家传授诸多的知识,还没有充分的时间来“消化”。因此,图图老师今天给广大考生带来 国考资料分析中常用的速算技巧,带领大家来梳理资料分析中的知识点。
    首先是特殊值 应用 。特殊值 应用 是 指题目中的百分数位于一个比较特殊的分数值附近,将其转化为简单分数参与计算,会大大 简化 运算 过程 ,大幅 度 提高计算的速度和正确率。 特殊值法常用于增长量的计算,尤其是当 已知现期量与增长率进行计算增长量的时候,公式为
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
。很多小伙伴将 数据代入公式后却不知如何进行快速计算 ,别急,图图老师给小伙伴们罗列出常用的特殊值,如图 1 所示。
   

    图 1
    图中罗列出从 到 的百分数,也是在国考资料分析中常见的分数与百分数之间的转化。 但考试是变化无常的,资料分析中的百分数不一定完全是表中的数据,这时候就需要小伙伴们灵活应用了,例如题中出现了 14 %,但图中并没有 14 %所对应的分数,只有 ,那么我们可以将计就计,把 14 %看成是 。另外,还有一种情况就是题中给的百分数是 7.5 %, 表中仍然没有,但是 7.5 %在 7.1 %在 7.7 %之间,因此,可以将 7.5 %近似 看成为 ,所以还需要同学们灵活地应用图中的特殊值。
    既然我们已经掌握了这些特殊值,但具体怎么应用到 这个公式中呢 ? 那么当r= 时,将其代入即为 , 那么我们一起来做一道例题感受一下。
    【例1】 ≈
    A. 6303 C. 12809
    B. 10939 D . 18600
    【图图点拨】 题中的百分数是17.1%,那么17.1%可以近似看成为 ,那么 n=6 代入公式中,即为 ,与 B 选项接近,因此选择 B 选项。
    图图老师刚刚给小伙伴们讲解的是当 r 大于 0 时 , 求增长量的公式 。 若当 r 小于 0 时, 也就是 r= 时,代入到 公式中,即 ,结果增长量为负值,其实求出是减少量。
    其次是常用公式应用。分别是“化除为乘”与间隔增长率公式。“化除为乘”公式主要应用于计算基期量,尤其是当已知现期量与增长率时应用,即 时应用, 且当 , ,将除法转化为乘法进行计算,图图老师给小伙伴们举例感受一下。
    接下来是间隔增长率公式。间隔增长率公式为 ,其中 R 是第三期相对于第一期的增长率, 为第二期相对于第一期的增长率, 为第三期相对于第二期的增长率。 图图老师给小伙伴们举例感受一下。
    【例 2 】 2010年上半年,全国原油产量为9848万吨,同比增长5.3%,上年同期为下降1%,进口原油11797万吨(海关统计),增长30.2%。原油加工量20586万吨,增长17.9%,增速同比加快16.4个百分点。
    2010年上半年全国原油产量比2008年同期约增长了:
    A. 1.8% C. 6.3%
    B. 4.2% D . 9.6%
    【图图点拨】 定位 材料第一句话“ 2010年上半年,全国原油产量为9848万吨,同比增长5.3%,上年同期为下降1% ”,可知2010年上半年 全国原油产量 同比2009年上半年 全国原油产量 的增长率为5.3%,即为 。 2009年上半年 全国原油产量 同比2008年上半年 全国原油产量 的增长率为-1%,即为 。 题中求的是2010年上半年 全国原油产量 同比2008年上半年的增长率为R,代入公式可得 。因此,选择 B 选项。
    最后,图图老师总结了思维导图供小伙伴们进行学习,也希望你们坚持下去,现在只不过是黎明前的黑暗。
   
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