How?Find how many draws must be made for there to be a 1% certainty that a Jackpot prize isn't won.
This is much easier imo.
I think this is how you would do it:How?
yep that worked but how come doesn't work. Obviously the answer it gets smaller and smaller as it reaches n but shouldn't it be the opposite of your way?I think this is how you would do it:
There's a 49/50 chance that a Jackpot won't be won on any draw. You want this to be 1%, so find an integer 'n' such that:
yeh this is correct.I think this is how you would do it:
There's a 49/50 chance that a Jackpot won't be won on any draw. You want this to be 1%, so find an integer 'n' such that:
because (1/50)^n is not the probability that at least one draw will be won after n draws. it is actually the probability that the n draws will be won consecutively. so that doesnt work.yep that worked but how come doesn't work. Obviously the answer it gets smaller and smaller as it reaches n but shouldn't it be the opposite of your way?
on a side note, for your bracket in latex to cover the whole fraction, ""\left ( *insert text here* \right )""
Pretty much this.because (1/50)^n is not the probability that at least one draw will be won after n draws. it is actually the probability that the n draws will be won consecutively. so that doesnt work.
Yeh that makes sense. I also got another way. Your is defs easier but....because (1/50)^n is not the probability that at least one draw will be won after n draws. it is actually the probability that the n draws will be won consecutively. so that doesnt work.
which reminded me to try the compliment of no one winning.because (1/50)^n is not the probability that at least one draw will be won after n draws. it is actually the probability that the n draws will be won consecutively. so that doesnt work.