What happens if you guess Leigh Nataro

Probability is an area of mathematics
that is everywhere.

We hear about it in weather forecasts,

like there’s an 80% chance
of snow tomorrow.

It’s used in making predictions in sports,

such as determining the odds
for who will win the Super Bowl.

Probability is also used in helping
to set auto insurance rates

and it’s what keeps casinos
and lotteries in business.

How can probability affect you?

Let’s look at a simple
probability problem.

Does it pay to randomly guess
on all 10 questions

on a true/ false quiz?

In other words,
if you were to toss a fair coin

10 times, and use it
to choose the answers,

what is the probability
you would get a perfect score?

It seems simple enough. There are only two
possible outcomes for each question.

But with a 10-question true/ false quiz,

there are lots of possible ways
to write down different combinations

of Ts and Fs. To understand
how many different combinations,

let’s think about a much smaller
true/ false quiz

with only two questions.
You could answer

“true true,” or “false false,”
or one of each.

First “false” then “true,”
or first “true” then “false.”

So that’s four different ways to write
the answers for a two-question quiz.

What about a 10-question quiz?

Well, this time, there are too many
to count and list by hand.

In order to answer this question, we need
to know the fundamental counting principle.

The fundamental counting principle states

that if there are A possible outcomes
for one event,

and B possible outcomes for another event,

then there are A times B ways
to pair the outcomes.

Clearly this works
for a two-question true/ false quiz.

There are two different answers
you could write for the first question,

and two different answers you could
write for the second question.

That makes 2 times 2, or, 4 different ways
to write the answers for a two-question quiz.

Now let’s consider the 10-question quiz.

To do this, we just need to extend
the fundamental counting principle a bit.

We need to realize that there are two
possible answers for each of the 10 questions.

So the number of possible outcomes is

2, times 2, times 2, times 2,
times 2, times 2,

times 2, times 2, times 2, times 2.

Or, a shorter way to say
that is 2 to the 10th power,

which is equal to 1,024.

That means of all the ways
you could write down your Ts and Fs,

only one of the 1,024 ways would match
the teacher’s answer key perfectly.

So the probability of you getting
a perfect score by guessing

is only 1 out of 1,024,

or about a 10th of a percent.

Clearly, guessing isn’t a good idea.

In fact, what would be
the most common score

if you and all your friends
were to always randomly guess

at every question on
a 10-question true/ false quiz?

Well, not everyone would get
exactly 5 out of 10.

But the average score, in the long run,

would be 5.

In a situation like this,
there are two possible outcomes:

a question is right or wrong,

and the probability
of being right by guessing

is always the same: 1/2.

To find the average number
you would get right by guessing,

you multiply the number of questions

by the probability
of getting the question right.

Here, that is 10 times 1/2, or 5.

Hopefully you study for quizzes,

since it clearly doesn’t pay to guess.

But at one point, you probably took
a standardized test like the SAT,

and most people have to guess
on a few questions.

If there are 20 questions
and five possible answers

for each question, what is the probability
you would get all 20 right

by randomly guessing?

And what should you expect
your score to be?

Let’s use the ideas from before.

First, since the probability of getting
a question right by guessing is 1/5,

we would expect to get 1/5
of the 20 questions right.

Yikes - that’s only four questions!

Are you thinking that the probability
of getting all 20 questions correct is pretty small?

Let’s find out just how small.

Do you recall the fundamental
counting principle that was stated before?

With five possible outcomes
for each question,

we would multiply 5 times 5
times 5 times 5 times…

Well, we would just use 5 as a factor

20 times, and 5 to the 20th power

is 95 trillion, 365 billion, 431 million,

648 thousand, 625.
Wow - that’s huge!

So the probability of getting all questions
correct by randomly guessing

is about 1 in 95 trillion.

概率是无处不在的数学领域

我们在天气预报中听说过,

比如明天有 80% 的
机会下雪。

它用于在体育运动中进行预测,

例如确定
谁将赢得超级碗的几率。

概率也被用于
帮助设定汽车保险费率

,它是保持赌场
和彩票业务的原因。

概率如何影响你?

让我们看一个简单的
概率问题。 在真/假

测验中随机
猜测所有 10 个问题是否值得

换句话说,
如果你投掷一枚公平的硬币

10 次,然后用它
来选择答案,

你得到满分的概率是
多少?

看起来很简单。 每个问题只有两种
可能的结果。

但是对于 10 个问题的真假测验,

有很多可能的方法
来写下

Ts 和 Fs 的不同组合。 要了解有
多少不同的组合,

让我们考虑一个

只有两个问题的小得多的真假测验。
您可以回答

“真真”或“假假”,
或各回答一个。

先“假”后“真”,
或先“真”后“假”。

所以这是
为两个问题的测验写答案的四种不同方法。

10个问题的测验怎么样?

嗯,这一次,实在是太多了,
无法手工计算和列出。

为了回答这个问题,我们
需要知道基本的计数原理。

基本计数原则指出

,如果一个事件有 A 种可能结果

而另一个事件有 B 种可能结果,

则有 A 乘 B 种方法
来配对结果。

显然,这适用
于两个问题的真/假测验。

第一个问题

你可以写两个不同的答案,第二个问题你可以写两个不同的
答案。

这使得 2 乘以 2 或 4 种不同的方式
来编写两个问题测验的答案。

现在让我们考虑 10 个问题的测验。

为此,我们只需要
稍微扩展基本计数原理即可。

我们需要意识到这
10 个问题中的每一个都有两个可能的答案。

所以可能结果的数量是

2,乘以 2,乘以 2,乘以 2,
乘以 2,乘以 2,

乘以 2,乘以 2,乘以 2,乘以 2。

或者,更简单的
说法是 2 的 10 次方

,等于 1,024。

这意味着在
你写下 Ts 和 Fs 的所有方法

中,1,024 种方法中只有一种能
与老师的答案键完全匹配。

因此,您
通过猜测获得

满分的概率仅为 1,024 分之一,

或大约 10%。

显然,猜测不是一个好主意。

事实上,

如果你和你所有的
朋友总是随机猜测

10 题真假测验中的每一个问题,那么最常见的分数是多少?

嗯,不是每个人都能得到
5 分(满分 10 分)。

但从长远来看,平均分

是 5 分。

在这种情况下,
有两种可能的结果:

一个问题是对还是错,

以及被选题的
概率 正确的猜测

总是相同的:1/2。

为了找到
你猜对的平均数,

你将问题的数量乘以做对问题

的概率

在这里,这是 1/2 的 10 倍,或 5。

希望你为测验而学习,

因为猜测显然不值得。

但有一次,你可能参加
了像 SAT 这样的标准化考试

,大多数人不得不
猜测几个问题。

如果有 20 个问题
,每个问题有 5 个可能的

答案,那么通过随机猜测得到全部 20 个问题的概率是

多少?

你应该期望
你的分数是多少?

让我们使用之前的想法。

首先,由于
通过猜测答对问题的概率是 1/5,因此

我们期望
答对 20 个问题中的 1/5。

哎呀-这只有四个问题!

你是否认为
20道题全部答对的概率很小?

让我们看看到底有多小。

你还记得
之前所说的基本计数原理吗? 每个问题

有五个可能的
结果,

我们将乘以 5
乘以 5 乘以 5 乘以 5…

好吧,我们只需将 5 作为因子

20 倍,5 的 20 次方

是 95 万亿、3650 亿、4.31 亿 ,

648,000, 625.
哇 - 好大啊!

因此,通过随机猜测得到所有问题正确的

概率约为 95 万亿分之一。