00:01
But a coin toss game where you win a dollar if a head appears and you lose a dollar if a tail appears.
00:04
So they're saying in the first hundred coin tosses, so if the sample size is 100 to start off with, you get 34 heads and 66 tails.
00:17
So the first question asks, what percentage of times has heads come up in the first 100 tosses? well, because it's 100, then the raw numbers are just the percentages, so it's just 34 and 66.
00:26
And what is your net gain or loss at this point? so you've gained $34 from the heads, and then you've lost $66 from the tails.
00:35
So overall, you've lost $32.
00:41
Part b then asks us, suppose you toss the coin 200 more times, so you have a total of 300 tosses, and heads has come up 37 % of the time, and therefore tails has come up 63 % of the time.
00:56
Is this consistent with the law of the law? large numbers.
01:00
And it asks us to explain.
01:02
And the answer is the first one, it's a.
01:05
The change is consistent with the law of large numbers because as the number of trials increases, you would expect these values to both tend to 0 .5 because if the coin is unbiased, then you should equally get 50 % heads and 50 % tails.
01:20
And the more trials you do, the nearer that should become.
01:26
Okay.
01:29
Then asks us, what is your net gain or loss at this? point...