陕西公务员考试每日一练:资料分析
2024年陕西省公务员考试招录已公布,笔试时间为3月16日-17日,公共科目笔试包括《行政职业能力测验》和《申论》两科。需要复习的考生可参考2024年陕西公务员考试通用教程。陕西公务员考试网为帮助考生备考,将每日发布各种题型供考生练习。
接下来完成练习题:
接下来完成练习题:
1.2018年,我国不同类型学校在校生人数较上年:
A.增加不到10万人
B.增加10万人以上
C.减少不到10万人
D.减少10万人以上
2.2013—2018年我国高中在校生人数最多的年份,当年小学和初中在校生人数的比例约为:
A.2.04∶1
B.2.01∶1
C.1.94∶1
D.1.91∶1
3.2018年,不同类型学校专任教师人数同比增长率按从小到大排序正确的是:
A.小学、学前教育、初中、高中
B.小学、高中、初中、学前教育
C.学前教育、小学、初中、高中
D.学前教育、高中、小学、初中
4.下图反映的是2014—2016年我国哪一类学校专任教师人数同比增量的变化趋势?
![\](data:image/png;base64,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)
A.学前教育
B.小学
C.初中
D.高中
5.根据上述资料,下列说法正确的有几个?
①2017年我国学前教育在校生人数同比增量是初中的1.5倍
②2013—2018年,我国高中专任教师人数年均增加3万多人
③2013—2018年,我国小学在校生人数与专任教师人数之比逐年增大
A.0
B.1
C.2
D.3
【参考答案与解析】
1.【答案】C。解析:根据表1最后两行数据可知,2018年学前教育在校生人数较上年约增加了4656-4600=56万人,小学约增加了8669-8946=-277万人,初中约增加了4653-4442=211万人,高中约增加了2379-2378=1万人。所求为56-277+211+1=-9万人,即减少不到10万人。故本题选C。
2.【答案】D。解析:根据表1最后一列数据可知,2013年高中在校生人数最多(24469522人),2013年小学在校生人数为84998824人≈8500万人,初中在校生人数为44401248人≈4440万人,所求为8500∶4440≈1.91∶1。故本题选D。
3.【答案】B。解析:简单比较表2最后两行数据可知,2018年小学专任教师人数较上年减少,而其余各类型学校专任教师人数均较上年增加,所以小学的同比增长率最小,可排除C、D。观察A、B两项,只需比较学前教育和初中的同比增长率即可判断,2018年学前教育专任教师人数同比增长率为(2581363-2432138)÷2432138≈(2581-2432)÷2432=149÷2432;初中的为(3638999-3548688)÷3548688≈(3639-3549)÷3549=90÷3549,显然(149÷2432)>(90÷3549),即学前教育的同比增长率>初中的同比增长率。故本题选B。
4.【答案】A。解析:因表格中数据较大,故统一换算单位为万人,根据表2中2013—2016年这四行数据可知,四类学校2014—2016年专任教师人数的同比增量具体如下:观察题干中的折线图可知,2014—2016年专任教师人数的同比增量先增后减,符合的只有学前教育。故本题选A。
5.【答案】B。解析:①,根据表1“2016年”“2017年”两行数据可知,2017年学前教育在校生人数的同比增量约为(4600-4414)万人,初中的约为(4442-4329)万人,则所求为(4600-4414)÷(4442-4329)=186÷113=(113+73)÷113>1.5倍。说法错误。②,由表2最后一列数据可知,2013年高中专任教师约有163.4万人,2018年约有181.5万人,平均每年增加(181.5-163.4)÷(2018-2013)=18.1÷5=3.X万人。说法正确。③,根据表1第三列数据和表2第三列数据可知,2016年我国小学在校生人数与专任教师人数之比约为8847÷518=17.X,2017年的约为8946÷528=16.X,2016年的比值>2017年的比值,不是逐年增大。说法错误。只有②正确,共1个。故本题选B。
了解更多公务员、事业单位招考信息
可添加二维码
qq群号 : 751397734
点击分享此信息:
![相关问题](images/xgwt_ico.gif)