Probability of independent not mutually exclusive events
Clash Royale CLAN TAG#URR8PPP
up vote
2
down vote
favorite
I am wondering if I am doing this right. If an event has a probability of happening of $0.9%$, what is the probability it will happen if it is repeated $50$ times. I have tried to calculate this with this formula:
$1-0.009^50$
Which gives $1$, so what I am wondering is it really true that if an event has a chance of only $0.9%$ of happening once, if repeated $50$ times it will happen for sure, or have I used the wrong formula to calculate this?
probability combinatorics
add a comment |Â
up vote
2
down vote
favorite
I am wondering if I am doing this right. If an event has a probability of happening of $0.9%$, what is the probability it will happen if it is repeated $50$ times. I have tried to calculate this with this formula:
$1-0.009^50$
Which gives $1$, so what I am wondering is it really true that if an event has a chance of only $0.9%$ of happening once, if repeated $50$ times it will happen for sure, or have I used the wrong formula to calculate this?
probability combinatorics
2
You have calculated that the event does not happen 50 times in 50 trials.
– callculus
Jul 25 at 9:53
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
I am wondering if I am doing this right. If an event has a probability of happening of $0.9%$, what is the probability it will happen if it is repeated $50$ times. I have tried to calculate this with this formula:
$1-0.009^50$
Which gives $1$, so what I am wondering is it really true that if an event has a chance of only $0.9%$ of happening once, if repeated $50$ times it will happen for sure, or have I used the wrong formula to calculate this?
probability combinatorics
I am wondering if I am doing this right. If an event has a probability of happening of $0.9%$, what is the probability it will happen if it is repeated $50$ times. I have tried to calculate this with this formula:
$1-0.009^50$
Which gives $1$, so what I am wondering is it really true that if an event has a chance of only $0.9%$ of happening once, if repeated $50$ times it will happen for sure, or have I used the wrong formula to calculate this?
probability combinatorics
edited Jul 25 at 9:59


Jam
4,26111230
4,26111230
asked Jul 25 at 9:43
Leff
1232
1232
2
You have calculated that the event does not happen 50 times in 50 trials.
– callculus
Jul 25 at 9:53
add a comment |Â
2
You have calculated that the event does not happen 50 times in 50 trials.
– callculus
Jul 25 at 9:53
2
2
You have calculated that the event does not happen 50 times in 50 trials.
– callculus
Jul 25 at 9:53
You have calculated that the event does not happen 50 times in 50 trials.
– callculus
Jul 25 at 9:53
add a comment |Â
4 Answers
4
active
oldest
votes
up vote
3
down vote
accepted
- $0.009^50$ is the probability the event happens $50$ times out of $50$
- $1-0.009^50$ is the probability the event happens fewer than $50$ times out of $50$
- $(1-0.009)^50$ is the probability the event happens $0$ times out of $50$
- $1-(1-0.009)^50$ is the probability the event happens more than $0$ times out of $50$
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
1
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
add a comment |Â
up vote
2
down vote
The chance of happening is $0.009$. So what do you compute by
$$1-0.009^50 ?$$
That is the chance that in 50 tries, it happens at most 49 times, and of course that is quite high, given the small chance.
What you need to compute is
$$1 - 0.991^50 approx 36%,$$
I'll leave it to you to find out why. :)
add a comment |Â
up vote
-1
down vote
Because your calculator can only calculate up to certain precision. For a value that is too small, say $0.009^5$ in your case, the calculator regards it as $0$.
add a comment |Â
up vote
-1
down vote
For starters 0.0009^50 is an extremely small amount and is so small that most calculators would regard it as 0 (this is because the product of any number less than one and another number less than one is smaller than the original number, for example 0.2*0.2 = 0.04 and 0.04<0.2) . As a result, 2-0.0009^50 is equal to 2.
0.9% is equal to 9/1000. So the probability of an event which occurs once with the probability of 0.9% is 1*9/1000. The probability of an event occurring 50 times with the probability of 0.9% is 50*9/1000 which equals 450/1000 and is simplified to $boxeddfrac9200$ or $boxed4.5 %$.
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
 |Â
show 1 more comment
4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
3
down vote
accepted
- $0.009^50$ is the probability the event happens $50$ times out of $50$
- $1-0.009^50$ is the probability the event happens fewer than $50$ times out of $50$
- $(1-0.009)^50$ is the probability the event happens $0$ times out of $50$
- $1-(1-0.009)^50$ is the probability the event happens more than $0$ times out of $50$
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
1
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
add a comment |Â
up vote
3
down vote
accepted
- $0.009^50$ is the probability the event happens $50$ times out of $50$
- $1-0.009^50$ is the probability the event happens fewer than $50$ times out of $50$
- $(1-0.009)^50$ is the probability the event happens $0$ times out of $50$
- $1-(1-0.009)^50$ is the probability the event happens more than $0$ times out of $50$
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
1
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
add a comment |Â
up vote
3
down vote
accepted
up vote
3
down vote
accepted
- $0.009^50$ is the probability the event happens $50$ times out of $50$
- $1-0.009^50$ is the probability the event happens fewer than $50$ times out of $50$
- $(1-0.009)^50$ is the probability the event happens $0$ times out of $50$
- $1-(1-0.009)^50$ is the probability the event happens more than $0$ times out of $50$
- $0.009^50$ is the probability the event happens $50$ times out of $50$
- $1-0.009^50$ is the probability the event happens fewer than $50$ times out of $50$
- $(1-0.009)^50$ is the probability the event happens $0$ times out of $50$
- $1-(1-0.009)^50$ is the probability the event happens more than $0$ times out of $50$
edited Jul 25 at 10:10
answered Jul 25 at 9:49
Henry
92.9k469147
92.9k469147
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
1
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
add a comment |Â
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
1
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
"the probability the event does not happens fewer than 50 times out of 50". Correct me if I'm wrong but isn't this the probability that the event does happen fewer than 50 times in 50 trials?
– Jam
Jul 25 at 9:54
1
1
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
@Jam - indeed - thank you - edited
– Henry
Jul 25 at 10:12
add a comment |Â
up vote
2
down vote
The chance of happening is $0.009$. So what do you compute by
$$1-0.009^50 ?$$
That is the chance that in 50 tries, it happens at most 49 times, and of course that is quite high, given the small chance.
What you need to compute is
$$1 - 0.991^50 approx 36%,$$
I'll leave it to you to find out why. :)
add a comment |Â
up vote
2
down vote
The chance of happening is $0.009$. So what do you compute by
$$1-0.009^50 ?$$
That is the chance that in 50 tries, it happens at most 49 times, and of course that is quite high, given the small chance.
What you need to compute is
$$1 - 0.991^50 approx 36%,$$
I'll leave it to you to find out why. :)
add a comment |Â
up vote
2
down vote
up vote
2
down vote
The chance of happening is $0.009$. So what do you compute by
$$1-0.009^50 ?$$
That is the chance that in 50 tries, it happens at most 49 times, and of course that is quite high, given the small chance.
What you need to compute is
$$1 - 0.991^50 approx 36%,$$
I'll leave it to you to find out why. :)
The chance of happening is $0.009$. So what do you compute by
$$1-0.009^50 ?$$
That is the chance that in 50 tries, it happens at most 49 times, and of course that is quite high, given the small chance.
What you need to compute is
$$1 - 0.991^50 approx 36%,$$
I'll leave it to you to find out why. :)
answered Jul 25 at 9:49
Dirk Liebhold
4,026117
4,026117
add a comment |Â
add a comment |Â
up vote
-1
down vote
Because your calculator can only calculate up to certain precision. For a value that is too small, say $0.009^5$ in your case, the calculator regards it as $0$.
add a comment |Â
up vote
-1
down vote
Because your calculator can only calculate up to certain precision. For a value that is too small, say $0.009^5$ in your case, the calculator regards it as $0$.
add a comment |Â
up vote
-1
down vote
up vote
-1
down vote
Because your calculator can only calculate up to certain precision. For a value that is too small, say $0.009^5$ in your case, the calculator regards it as $0$.
Because your calculator can only calculate up to certain precision. For a value that is too small, say $0.009^5$ in your case, the calculator regards it as $0$.
answered Jul 25 at 9:49
Jerry
326212
326212
add a comment |Â
add a comment |Â
up vote
-1
down vote
For starters 0.0009^50 is an extremely small amount and is so small that most calculators would regard it as 0 (this is because the product of any number less than one and another number less than one is smaller than the original number, for example 0.2*0.2 = 0.04 and 0.04<0.2) . As a result, 2-0.0009^50 is equal to 2.
0.9% is equal to 9/1000. So the probability of an event which occurs once with the probability of 0.9% is 1*9/1000. The probability of an event occurring 50 times with the probability of 0.9% is 50*9/1000 which equals 450/1000 and is simplified to $boxeddfrac9200$ or $boxed4.5 %$.
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
 |Â
show 1 more comment
up vote
-1
down vote
For starters 0.0009^50 is an extremely small amount and is so small that most calculators would regard it as 0 (this is because the product of any number less than one and another number less than one is smaller than the original number, for example 0.2*0.2 = 0.04 and 0.04<0.2) . As a result, 2-0.0009^50 is equal to 2.
0.9% is equal to 9/1000. So the probability of an event which occurs once with the probability of 0.9% is 1*9/1000. The probability of an event occurring 50 times with the probability of 0.9% is 50*9/1000 which equals 450/1000 and is simplified to $boxeddfrac9200$ or $boxed4.5 %$.
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
 |Â
show 1 more comment
up vote
-1
down vote
up vote
-1
down vote
For starters 0.0009^50 is an extremely small amount and is so small that most calculators would regard it as 0 (this is because the product of any number less than one and another number less than one is smaller than the original number, for example 0.2*0.2 = 0.04 and 0.04<0.2) . As a result, 2-0.0009^50 is equal to 2.
0.9% is equal to 9/1000. So the probability of an event which occurs once with the probability of 0.9% is 1*9/1000. The probability of an event occurring 50 times with the probability of 0.9% is 50*9/1000 which equals 450/1000 and is simplified to $boxeddfrac9200$ or $boxed4.5 %$.
For starters 0.0009^50 is an extremely small amount and is so small that most calculators would regard it as 0 (this is because the product of any number less than one and another number less than one is smaller than the original number, for example 0.2*0.2 = 0.04 and 0.04<0.2) . As a result, 2-0.0009^50 is equal to 2.
0.9% is equal to 9/1000. So the probability of an event which occurs once with the probability of 0.9% is 1*9/1000. The probability of an event occurring 50 times with the probability of 0.9% is 50*9/1000 which equals 450/1000 and is simplified to $boxeddfrac9200$ or $boxed4.5 %$.
edited Jul 25 at 13:52
answered Jul 25 at 10:00
Vivek
163
163
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
 |Â
show 1 more comment
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If the probability of an event is $0.009$, then the probability it occurs $50$ times in $50$ trials is not $0.009times50$.
– Jam
Jul 25 at 10:09
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If that were the case, the probability it occurs $1$ million times in $1$ million trials would be $9000$, i.e. $900,000%$, which can't be right
– Jam
Jul 25 at 10:12
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
If an event had the probability of occurring 0.9% of the time then in 1 million trials it would occur 0.009*1,000,000 times which is 9000 times. What I am trying to say (with your example) that it will occur 9000 times in one million trials. Because the probability of an event occurring is it's probability multiplied by the # of trials. I may not have been very clear with that.
– Vivek
Jul 25 at 13:25
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
That works for finding the expected number of successes. And I agree that if you perform $n$ trials which are independent and each have a probability of success of $p$ then the expected number of successes is $np$. But the probability of success in all trials would be $P(t_1wedge t_2wedge ldots wedge t_n)=P(t_1)times P(t_2)ldots times P(t_n)=ldots$, where $P(t_i)$ is the probability of success in trial $i$. In your answer you've calculated an expected value, as if it were a probability
– Jam
Jul 25 at 13:43
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
Intuitively, you can see that your answer must be flawed since you've got a higher probability when you have a success multiple times. Imagine if your probability of winning the lottery were $0.9%$. Would it not seem strange if your probability of winning the lottery $50$ times consecutively were $4.5%$?
– Jam
Jul 25 at 13:47
 |Â
show 1 more comment
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2862233%2fprobability-of-independent-not-mutually-exclusive-events%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
2
You have calculated that the event does not happen 50 times in 50 trials.
– callculus
Jul 25 at 9:53