24周年

财税实务 高薪就业 学历教育
APP下载
APP下载新用户扫码下载
立享专属优惠

安卓版本:8.7.31 苹果版本:8.7.31

开发者:北京正保会计科技有限公司

应用涉及权限:查看权限>

APP隐私政策:查看政策>

HD版本上线:点击下载>

"quantity"exercise:Sampling

来源: 正保会计网校 编辑:小鞠橘桔 2020/10/23 11:45:08 字体:

学习是一个不断积累的过程,每天学习一点,每天进步一点!为了帮助大家更高效地备考2021年CFA考试,正保会计网校每日为大家上新CFA习题供大家练习。让网校与您一起高效备考2021年CFA考试,梦想成真!

Questions 1:

Which of the following, holding all else constant, will most likely increase the width of the confidence interval for a parameter estimate?

A、 Reduction in the degree of confidence

B、 Increase in the sample size

C 、Use of the t-distribution rather than the normal distribution to establish the confidence interval

Questions 2:

An analyst collects the following set of 10 returns from the past:

quantity exercise:Sampling

The geometric mean return is closest to:

A 、10.89%.

B 、10.80%.

C、 9.62%.

View answer resolution
【Answer to question 1】C

【analysis】

C is correct. Reflecting the uncertainty of the unknown variance, confidence intervals based on the t-distribution will be larger than those using the normal distribution because t > z for any sample size, n, with the exception of n = ∞. Larger sample sizes and reduced confidence levels, holding all else constant, both reduce the width of a confidence interval. A is incorrect. A reduction in the degree of confidence will decrease the width of the confidence interval (because of a smaller reliability factor). B is incorrect. Increasing the sample size decreases the width of a confidence interval (because of a smaller standard error and, in the case of a t-distribution, of a smaller reliability factor).

【Answer to question 2】B

【analysis】

B is correct. The geometric mean return is calculated as the Tth root of the product of T terms, where the terms are one plus the returns and T is the number of returns. After taking the Tth root, subtract one:

quantity exercise:Sampling

成功=时间+方法,自制力是这个等式的保障。世上无天才,高手都是来自刻苦的练习。而人们经常只看到“牛人”闪耀的成绩,其成绩背后无比寂寞的勤奋。小编相信,每天都在勤奋练习,即使是一点点的进步,大家一定可以成为人人称赞的“牛人”。更多CFA考试资讯,点击了解>

免费试听

特许金融分析师限时免费资料

  • CFA报考指南

    CFA报考指南

  • CFA考试大纲

    CFA考试大纲

  • CFA历年

    CFA历年

  • CFA学习计划

    CFA学习计划

  • CFA思维导图

    CFA思维导图

  • CFA备考建议

    CFA备考建议

回到顶部
折叠
网站地图

Copyright © 2000 - www.chinaacc.com All Rights Reserved. 北京正保会计科技有限公司 版权所有

京B2-20200959 京ICP备20012371号-7 出版物经营许可证 京公网安备 11010802044457号

报考小助理

备考问题
扫码问老师