Probability Blog Post

1.How do you find the experimental probability that a particular result will occur? Why is it called the experimental probability? 
You can find experimental probability by conducting an experiment or a series of trials which consist of many things ranging from tossing coins to flipping spoons or spinning spinners. It is called experimental probability because we conduct several trials of an event, such as tossing a coin. We then collect the outcome data of each trial. Based on the data we can determine the probability of the event to occur. This is called experimental probability. 
  

2. In an experiment, are 30 trials as good as 500 trials to predict the chances of a result? Explain.
No, 500 trials is a lot better than 30 trials because the more trails you conduct, the more accurate your outcome will be. A simple lesson to know when predicting the outcome of any event is that the more trials you do the more accurate your outcome will be because there are a bigger diversity of results so you can get a better feeling of what the result will be. For example when you toss a coin, if you do it thirty times, you may get 19 heads and only 11 tails. However, if you do it 500 times you will most likely get around 50% heads and 50% tails. Lets test this theory out by first doing 5 trials then 15 coin tossing.

5 Trails: All 5 tosses were heads, so now taking that data you must think that the next toss in most likely going to be another head. However,  there is a 50/50 chance the coin will land on tails or heads. This is an example of a discrete event, because it doesn't matter if the coin for the last six trials landed on head because its a new start and a new toss. Its like starting from scratch every coin toss.
However, wait if you did another 10 more trials just to test your theory, because the more trails the more accurate your predication is. Remember, when you do more trials approximately 50% of the tosses will be heads and 50% will be tails.

15: Now that you've tossed the coins 15 times, the results are completely different. 53% of the tosses were tails, and 47% of the tosses were heads. Therefore, with more accurate and diverse outcomes you have a better knowledge of the chances of the coin landing on either tail or heads. This is also known as relative frequency because the coin landed on tails 8 times out of the 15 trials. And landed on heads 7 out of the 15 trials.

3. What does it mean for results to be equally likely? 
Equally Likely means the chances out the outcome is fair/ unbiased and all possibilities have an equal chance of happening. Lets use a spinner for an example, if the spinner has 4 different colors (red,yellow,blue,green) and they all take up 25% of the spinner, the chances of the spinner landing on anyone one of those colors is equal. So the chances the chances of landing on any one of the colors are 25% likely or 1/4 likely.