There are 4 different colored candies in a bag. So, one should have a 25% chance of picking a particular color out of the bag. After pulling out 20 candies, Sally got 8 purples, which is 40%. Predict what will happen as Sally pulls out more candies.

There is a 25% chance for each color, only if there are equal amounts of each colored candy. Is that so?

To predict what will happen as Sally pulls out more candies, we can analyze the probability of getting a particular colored candy.

Initially, there are 4 different colored candies in the bag, giving each color a 25% chance of being picked. Sally pulls out 20 candies, and 8 of them are purple. This means that 8 out of the 20 candies (or 40%) were purple.

Now, let's calculate the probabilities for the remaining colors. Since Sally has already picked out 20 candies, there are now 80 candies (4 colors x 20 candies/color) left in the bag.

To find the probability of picking a specific color now, we need to divide the remaining number of candies of that color by the total number of candies left in the bag.

Let's assume the remaining counts for the other colored candies are as follows:
- Red: 30 candies
- Green: 35 candies
- Blue: 15 candies

So, Sally has a 30/80 chance (37.5%) of picking a red candy, a 35/80 chance (43.75%) of picking a green candy, and a 15/80 chance (18.75%) of picking a blue candy.

Based on these calculations, as Sally pulls out more candies, we can expect the percentages for each color to converge towards their respective probabilities: 25% for each color. This convergence occurs because, as more candies are drawn, the proportion of each color in the bag becomes more representative of the original distribution.

Therefore, as Sally pulls out more candies, we can predict that the percentage of each color will get closer to 25% and the distribution of colors will approach a more balanced state.