Probability Homework help

In summary: If you are clever,...I don't think there is a mistake in the book, but I could be wrong. I think it is just that the 0.01% calculation is done incorrectly.
  • #1
Drudge
30
0
"Half of the population are men and half are women.

What is the probability that in a 100 random sample, there are 50 women?"

0.5 right?!
 
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  • #2
How did you get that? You have to show your work in order to get help on this forum.
 
  • #3
phinds said:
How did you get that? You have to show your work in order to get help on this forum.

No, I´m just figuring out. I mean, to me that is common sense. If there are as many woman as men, then randomly choosing from them should give a probability of 0.5 of either gender.

The answer in my answer sheet is 0.08, which I don't get.
 
  • #4
Drudge said:
No, I´m just figuring out. I mean, to me that is common sense. If there are as many woman as men, then randomly choosing from them should give a probability of 0.5 of either gender.

The answer in my answer sheet is 0.08, which I don't get.

Yes, I can see that you don't "get it" BECAUSE you are using "common sense" instead of math. Even common sense tells me .5 is wrong but that's a different discussion.

How would you do it mathematically?

EDIT: also ... read the problem statement. I think you are in a sense solving the wrong problem.
 
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  • #5
phinds said:
Yes, I can see that you don't "get it" BECAUSE you are using "common sense" instead of math. Even common sense tells me .5 is wrong but that's a different discussion.

How would you do it mathematically?

EDIT: also ... read the problem statement. I think you are in a sense solving the wrong problem.

What problem do you think I am instead solving?

I think I get it. It is something like (I don't know really how to demonstrate this in "maths") the probability of EXACTLY 50 is 0.08, because there could be in turn 49, 48, 47, 51, 52, 53 (and so on), which are also close to the expected value, and thus part of the probability (of a total of one).

Also the problem is supposed to be solved like: 100ℂ50*0.5^50*0.5^50
that is "of all the cases where there could be fifty women (100ℂ50), how likely is there to be so much" or something like that.

Another one I cannot figure out.

"There are 4 options in a question. Each question has either one or multiple answers right, which in case means that only if you answer all the options right do you get the question right.

What is the probability of answering a question right?"

=1/4 * 2/4 * 3/4 * 4*4 ?

(there is no answer for this in my records)
 
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  • #6
I don´t know should I post a new thread or just continue posting here.

Ok, this one has to be a mistake in the book!

"Approximately 0.01% of people suffer from disease X. In a random sample of 10 000, how likely is there to be 2 people with disease X?"

So,

0.01% = 0.0001
0.0001 * 10 000 = 1

( (1^2) / 2! ) * e^-1 = 0.1839397206 (Poisson approximation)

The answer in the book is 1,86 * 10^-40. You can get this answer if you multiply 10 000 with 0.01 (not 0.0001) which is 100.

And:

( (100^2) / 2!) * e^-100 = 1,86 * 10^-40

So what do you think? Is there a mistake in the book. Does it use the percentage 0.01% without converting it (into 0.0001)?
 
  • #7
Drudge said:
What problem do you think I am instead solving?

I think I get it. It is something like (I don't know really how to demonstrate this in "maths") the probability of EXACTLY 50 is 0.08, because there could be in turn 49, 48, 47, 51, 52, 53 (and so on), which are also close to the expected value, and thus part of the probability (of a total of one).

Also the problem is supposed to be solved like: 100ℂ50*0.5^50*0.5^50
that is "of all the cases where there could be fifty women (100ℂ50), how likely is there to be so much" or something like that.

Another one I cannot figure out.

"There are 4 options in a question. Each question has either one or multiple answers right, which in case means that only if you answer all the options right do you get the question right.

What is the probability of answering a question right?"

=1/4 * 2/4 * 3/4 * 4*4 ?

(there is no answer for this in my records)

Why don't you break it down into cases? What if exactly one, exactly two, etc. are the right

answers?
 
  • #8
Bacle2 said:
Why don't you break it down into cases? What if exactly one, exactly two, etc. are the right

answers?

You want me to calculate every probability up to 50 and then see if there is 0.08 left, or something like that?
 
  • #9
Yes, that is exactly what he means- do the work rather than guessing.

If you are clever, you might see a pattern after the first few so that you don't have to actually do all 50.
 
  • #10
HallsofIvy said:
Yes, that is exactly what he means- do the work rather than guessing.

If you are clever, you might see a pattern after the first few so that you don't have to actually do all 50.

Ok, so I was not that clever and I count up to 49 adding every previous on to the sum and got ≈0.46. Because the probabilities are symmetrical, 0.46 * 2 = 0.92. So 1 - 0.92 = 0.08.

So yes, I understand now, thank you very much. What do you think about the two other problems I posted?

EDIT: Concerning the second question, I thought I was counting up the cases (1/4 * 2/4...). it dosen seem right though, and I don't have any where to check. Do you think it is right?
 
  • #11
Drudge said:
Ok, so I was not that clever and I count up to 49 adding every previous on to the sum and got ≈0.46. Because the probabilities are symmetrical, 0.46 * 2 = 0.92. So 1 - 0.92 = 0.08.

So yes, I understand now, thank you very much. What do you think about the two other problems I posted?

EDIT: Concerning the second question, I thought I was counting up the cases (1/4 * 2/4...). it dosen seem right though, and I don't have any where to check. Do you think it is right?

I don't understand why you are adding so many things (if that is what you are doing). The probability of exactly 50 women in the sample is ##p_{50} = C(100,50)/2^{100} = 0.079589... \approx 0.08. ##

BTW: you should NOT round off to 0.46 and then compute 1-2*-0.46 = 0.08. Whenever the answer is a small number obtained by subtraction of two not-small numbers you can get serious roundoff error effects. You should keep more digits before stating/rounding the final answer. (Of course, you *might* have done that, while just writing rounded intermediate results for the sake of easier typing.)

For your third question, I agree with your answer: ##P\{2 \text{ have the disease }\} \approx 0.184.##
 
  • #12
Ray Vickson said:
I don't understand why you are adding so many things (if that is what you are doing). The probability of exactly 50 women in the sample is ##p_{50} = C(100,50)/2^{100} = 0.079589... \approx 0.08. ##

BTW: you should NOT round off to 0.46 and then compute 1-2*-0.46 = 0.08. Whenever the answer is a small number obtained by subtraction of two not-small numbers you can get serious roundoff error effects. You should keep more digits before stating/rounding the final answer. (Of course, you *might* have done that, while just writing rounded intermediate results for the sake of easier typing.)

Ok, I understand and agree with you completely. However I was just really testing a hypothesis, and not counting real results. So I think its ok to approximate for the sake of argument, no, yes? Maybe not, anyway I think the reason I did not understand first was that I did not understand that they where asking EXACTLY 50.

Ray Vickson said:
For your third question, I agree with your answer: ##P\{2 \text{ have the disease }\} \approx 0.184.##

Thank you! I can't believe this book. Well I guess there has to be some errors somewhere.
 
  • #13
Drudge said:
... anyway I think the reason I did not understand first was that I did not understand that they where asking EXACTLY 50.

Which is why I said I thought you were solving the wrong problem.
 
  • #14
Anybody know what the probability of a question is that:

"has four options, of which any number of can be right"

I cannot think of anything better than 1/4 * 2/4 * 3/4 * 4/4, but cannot help but think that it is not right (at least I know something).
 
  • #15
Drudge said:
Anybody know what the probability of a question is that:

"has four options, of which any number of can be right"
Very unlikely to get such a question. Seriously, I have no idea what you're asking. Pls rephrase it more clearly, preferably in a new thread.
 
  • #16
haruspex said:
Very unlikely to get such a question. Seriously, I have no idea what you're asking. Pls rephrase it more clearly, preferably in a new thread.

Ok, I have to admit that I made that question up, but what it has to do with is my university admission exam format.

So, for example:

1) Question

A)x
B)y
C)z
D)q

Each question has four options as above and the only way to get points off a question is to mark ALL the right answers. So the answer to the above could be A, B, C, D or AB, AC, AD, BC, BD... or ABC, BCD... or ABCD.

And so I was wondering what the chances are of guessing a question right (not that I plan on doing so). Also the exam, as well as having these kind of option-questions, has a lot to do with probability problems and I was annoyed that I couldn't even figure this kind of problem out, when the test is much more harder!
 
  • #17
Drudge said:
So, for example:

1) Question

A)x
B)y
C)z
D)q

Each question has four options as above and the only way to get points off a question is to mark ALL the right answers. So the answer to the above could be A, B, C, D or AB, AC, AD, BC, BD... or ABC, BCD... or ABCD.

And so I was wondering what the chances are of guessing a question right (not that I plan on doing so). Also the exam, as well as having these kind of option-questions, has a lot to do with probability problems and I was annoyed that I couldn't even figure this kind of problem out, when the test is much more harder!
You showed 4 answers, each of which may be chosen independently of the others. You could think of this as a sequence of four 0s and 1s. How many possibilities? If all are equally likely (including ticking none), what is the chance of each one?
Btw, I believe the marking systems apply a penalty based on this, so that if you answered all questions at random your expected average score would be 0.
 
  • #18
haruspex said:
You showed 4 answers, each of which may be chosen independently of the others. You could think of this as a sequence of four 0s and 1s. How many possibilities? If all are equally likely (including ticking none), what is the chance of each one?
Btw, I believe the marking systems apply a penalty based on this, so that if you answered all questions at random your expected average score would be 0.

Ok, not really sure what you meant (by the way ticking none is not an option), but I think I figured it out. You must count up all the cases (A, B, C,...) and then the probability is one out of all the choices.

Thanks anyway.

Hey,

should not the "degrees of freedom" in this picture (link below) be 23 and not 15 (on the principle that in a t-Test: Two-Sample Assuming unequal variances, the degrees of freedom is n(1) + n(2) -2 )

http://imageshack.us/photo/my-images/801/img1791d.jpg

EDIT: This is more statistics I´m afraid, but i hope it is not a problem
 
  • #19
Drudge said:
. You must count up all the cases (A, B, C,...) and then the probability is one out of all the choices.
Yes, but I was trying to get you to see there's a very easy way of counting them all. Don't worry for the moment whether ticking none is valid. You can represent any set of ticks by a sequence of four bits, yes? Conversely, any sequence of four bits represents a unique set of ticks. How many possibilities does that give?
Wrt the t-test (more properly, Welch's test here?) I believe you are right, but I'm no expert on practical stats.
 
  • #20
haruspex said:
yes, but i was trying to get you to see there's a very easy way of counting them all. Don't worry for the moment whether ticking none is valid. You can represent any set of ticks by a sequence of four bits, yes? Conversely, any sequence of four bits represents a unique set of ticks. How many possibilities does that give?
Wrt the t-test (more properly, welch's test here?) i believe you are right, but I'm no expert on practical stats.

2 * 2 * 2 * 2 ?
 
  • #21
Drudge said:
2 * 2 * 2 * 2 ?
Right. So eliminating the 'no selections' case leaves 2n-1.
 
  • #22
haruspex said:
Right. So eliminating the 'no selections' case leaves 2n-1.

Ok, thanks :)
 
  • #23
Hey, anyone know a really good page for probability math practice. I´m studying for university. Basic stuff like, but not toooo basic

EDIT: Somewhere, where there are answers also to the problems
 

1. What is probability?

Probability is a branch of mathematics that deals with the likelihood of an event occurring. It is the measure of the chance or likelihood of an event happening. Probability is represented as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

2. How is probability calculated?

Probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This is known as the probability formula: P(event) = favorable outcomes / total outcomes. For example, if you roll a standard six-sided die, the probability of rolling a 3 would be 1/6 because there is only one favorable outcome (rolling a 3) out of six possible outcomes (rolling a number from 1 to 6).

3. What is the difference between theoretical and experimental probability?

Theoretical probability is the probability of an event occurring based on mathematical calculations and assumptions, while experimental probability is the probability of an event occurring based on actual data or experimentation. Theoretical probability is often used in theoretical models, while experimental probability is used in real-life situations to make predictions.

4. How is probability used in real life?

Probability is used in real life to make predictions and informed decisions. It is applied in fields such as finance, insurance, weather forecasting, and gambling. For example, insurance companies use probability to determine premiums based on the likelihood of an event occurring. In gambling, probability is used to calculate the odds of winning and to determine the payout of a bet.

5. What are some common misconceptions about probability?

One common misconception is that the outcome of an event is influenced by previous outcomes. In reality, each event is independent and the probability remains the same regardless of previous outcomes. Another misconception is that the probability of an event increases if it has not occurred in a while. This is known as the gambler's fallacy and is not true for independent events. Lastly, people often think that if an event has a low probability, it will never occur. But in reality, low probability events can still happen, just less frequently.

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