[249]Information Measures (graded)

題目:10題

花費時間:3h

1。

Suppose we have two coins:
one “fair” coin, where p(head) = p(tails) = .5; and
an “unfair” coin where p(heads) does not equal p(tails).
Which coin has a larger entropy prior to observing the outcome?

The fair coin

The unfair coin

2。

If you roll one fair dice (6-sided), what is its entropy before the result is observed?

  • 2.58 bits

  • 0.46 bits

  • 0.43 bits

  • 2.32 bits

3。

If your friend picks one number between 1001 to 5000, under the strategy used in video Entropy of a Guessing Game,
what is the maximum number of questions you need to ask to find out that number?

  • 11

  • 10

  • 12

  • 13

4。

Use the “Information Gain Calculator” spreadsheet to calculate the "Conditional Entropy" H(X|Y) given a = 0.4, c = 0.5, e = 0.11.
Information Gain Calculator.xlsx

  • 0.90 bits

  • 0.97 bits

  • 0.87 bits

  • 1.87 bits
    1
    point
    5。
    On the “Information Gain Calculator” spreadsheet, given a = 0.3, c = 0.2, suppose now we also know that H(X,Y) = H(X) + H(Y).
    What is the joint probability e?
    Information Gain Calculator.xlsx

  • 0.5

  • 0.04

  • 0.3

  • 0.06

6。

Given a = 0.2, c = 0.5 on the Information Gain Calculator Spreadsheet suppose now we also know the true positive rate is 0.18.
What is the Mutual Information?
Information Gain Calculator.xlsx

  • 0.72 bits

  • 0.13 bits

  • 1.64 bits

  • 0.08 bits

7。

Consider the Monty Hall problem, but instead of the usual 3 doors,
assume there are 5 doors to choose from.
You first choose door #1.
Monty opens doors #2 and #3.
What is the new probability that there is a prize behind door #4?

  • 0.4

  • 0.2

  • 0.67

  • 0.5

8。

Again, consider the Monty Hall problem,
but with 5 doors to choose from instead of 3.
You pick door #1, and Monty opens 2 of the other 4 doors.

How many bits of information are communicated to you by Monty when you observe which two doors he opens?

  • 1.52 bits

  • 2.32 bits

  • 0.80 bits

  • 0.67 bits

9。

B stands for “the coin is fair”, ~B stands for “the coin is crooked”.
The p(heads | B) = 0.5, and p(heads | ~B) = 0.4.
Your friend tells you that he often tests people to see if they can guess whether he is using the fair coin or the crooked coin,
but that he is careful to use the crooked coin 70% of the time.
He tosses the coin once and it comes up heads.
What is your new best estimate of the probability that the coin he just tossed is fair?

  • 0.15

  • 0.35

  • 0.40

  • 0.43

10。

Suppose you are given either a fair dice or an unfair dice (6-sided).
You have no basis for considering either dice more likely before you roll it and observe an outcome.
For the fair dice, the chance of observing “3” is 1/6.
For the unfair dice, the chance of observing “3” is 1/3.
After rolling the unknown dice, you observe the outcome to be 3.
What is the new probability that the die you rolled is fair?

  • 0.08

  • 0.23

  • 0.33

  • 0.36


錯誤題目:

螢幕快照 2017-08-23 下午12.49.04.png
螢幕快照 2017-08-23 下午12.48.47.png
最后编辑于
©著作权归作者所有,转载或内容合作请联系作者
  • 序言:七十年代末,一起剥皮案震惊了整个滨河市,随后出现的几起案子,更是在滨河造成了极大的恐慌,老刑警刘岩,带你破解...
    沈念sama阅读 211,817评论 6 492
  • 序言:滨河连续发生了三起死亡事件,死亡现场离奇诡异,居然都是意外死亡,警方通过查阅死者的电脑和手机,发现死者居然都...
    沈念sama阅读 90,329评论 3 385
  • 文/潘晓璐 我一进店门,熙熙楼的掌柜王于贵愁眉苦脸地迎上来,“玉大人,你说我怎么就摊上这事。” “怎么了?”我有些...
    开封第一讲书人阅读 157,354评论 0 348
  • 文/不坏的土叔 我叫张陵,是天一观的道长。 经常有香客问我,道长,这世上最难降的妖魔是什么? 我笑而不...
    开封第一讲书人阅读 56,498评论 1 284
  • 正文 为了忘掉前任,我火速办了婚礼,结果婚礼上,老公的妹妹穿的比我还像新娘。我一直安慰自己,他们只是感情好,可当我...
    茶点故事阅读 65,600评论 6 386
  • 文/花漫 我一把揭开白布。 她就那样静静地躺着,像睡着了一般。 火红的嫁衣衬着肌肤如雪。 梳的纹丝不乱的头发上,一...
    开封第一讲书人阅读 49,829评论 1 290
  • 那天,我揣着相机与录音,去河边找鬼。 笑死,一个胖子当着我的面吹牛,可吹牛的内容都是我干的。 我是一名探鬼主播,决...
    沈念sama阅读 38,979评论 3 408
  • 文/苍兰香墨 我猛地睁开眼,长吁一口气:“原来是场噩梦啊……” “哼!你这毒妇竟也来了?” 一声冷哼从身侧响起,我...
    开封第一讲书人阅读 37,722评论 0 266
  • 序言:老挝万荣一对情侣失踪,失踪者是张志新(化名)和其女友刘颖,没想到半个月后,有当地人在树林里发现了一具尸体,经...
    沈念sama阅读 44,189评论 1 303
  • 正文 独居荒郊野岭守林人离奇死亡,尸身上长有42处带血的脓包…… 初始之章·张勋 以下内容为张勋视角 年9月15日...
    茶点故事阅读 36,519评论 2 327
  • 正文 我和宋清朗相恋三年,在试婚纱的时候发现自己被绿了。 大学时的朋友给我发了我未婚夫和他白月光在一起吃饭的照片。...
    茶点故事阅读 38,654评论 1 340
  • 序言:一个原本活蹦乱跳的男人离奇死亡,死状恐怖,灵堂内的尸体忽然破棺而出,到底是诈尸还是另有隐情,我是刑警宁泽,带...
    沈念sama阅读 34,329评论 4 330
  • 正文 年R本政府宣布,位于F岛的核电站,受9级特大地震影响,放射性物质发生泄漏。R本人自食恶果不足惜,却给世界环境...
    茶点故事阅读 39,940评论 3 313
  • 文/蒙蒙 一、第九天 我趴在偏房一处隐蔽的房顶上张望。 院中可真热闹,春花似锦、人声如沸。这庄子的主人今日做“春日...
    开封第一讲书人阅读 30,762评论 0 21
  • 文/苍兰香墨 我抬头看了看天上的太阳。三九已至,却和暖如春,着一层夹袄步出监牢的瞬间,已是汗流浃背。 一阵脚步声响...
    开封第一讲书人阅读 31,993评论 1 266
  • 我被黑心中介骗来泰国打工, 没想到刚下飞机就差点儿被人妖公主榨干…… 1. 我叫王不留,地道东北人。 一个月前我还...
    沈念sama阅读 46,382评论 2 360
  • 正文 我出身青楼,却偏偏与公主长得像,于是被迫代替她去往敌国和亲。 传闻我的和亲对象是个残疾皇子,可洞房花烛夜当晚...
    茶点故事阅读 43,543评论 2 349

推荐阅读更多精彩内容