If you like winning during games or a risk-taker, you will probably fall in love with probability and statistics with the basics. Here are some tools that can help you learn statistics quickly and easily.

**Computing probability**

You may have come across probability as soon as your day started. If you saw a 30% forecast of rain in your weather app, or if you failed to study for your history class because of having a quiz the previous day, then you might have to use statistics and probability to make such decisions. Probability is much more related to statistics since various probabilities get based on events that occurred in the past. Therefore, it is critical to understand the source of data whenever you know the basics of probability.

A probability entails fractions which can get written as percent or ratios. The numerator of a probability is the number of outcomes that can satisfy the condition of the probability. In contrast, the denominator of probability entails the number of possible results that can get found.

**Probability utilizing and/or**

There are clear distinctions in words ‘or’ and ‘and’ when computing probability. Therefore, when you spot the word or, therefore, means that the outcome must satisfy at least one condition, the following condition, or both simultaneously. ‘And’ means that the conditions must get met by the result simultaneously.

**Complementary and mutually exclusive events**

An event gets considered mutually exclusive whenever it has two or multiple outcomes that failed to occur simultaneously. When you pick a card from a given deck and choose an ace or a king, they get considered mutually exclusive because you can’t possibly do them simultaneously. Alternatively, picking a red card or a king is not considered mutually exclusive because you can always choose a king with red.

An event gets considered complementary when two of the outcomes of a given event are considered the only outcome possible in it. If you roll a dice and finally get a sample of 4 or 2, it will not be regarded as complementary because there could be other possible outcomes, including 5, 3, and 1. If you happen to roll a dice and get a one or failing to do so is considered complementary because you’ll only have two choices. A perfect example in line with the complementary event is doing a coin flip because, during that time, you will only have two options which are either the head or the tail. All the mutually exclusive events cannot be considered complementary, but all the complimentary events are mutually exclusive.

**Observing Vs. Predicting probability**

If you can remember, the movie called Two for the money involves Matthew McConaughey making a lot of money while betting for sports. He does that through observation and prediction of the probable outcomes of all the events of sports. When the probability gets involved, there are two ways in which you can calculate it. It can get estimated by keeping the score while observing the event or using mathematics to make your predictions.

Observing probability can also be termed as an experimental probability. It gets based on looking at a trial or experiment, counting all the favorable outcomes, and dividing the result by the total number of times the test got them. For instance, if you happen to toss your coin at least 36 times into the air and record each of the outcomes, you may find that the probability of the coin flipping its tail is 17 out of 36. If you put it into percentages, it will be 47% instead of the likelihood of the head getting flipped, becoming 19 out of 36, which is 53% of the total time.

**Compound events**

The compound events found in probability will have to occur in about two or multiple events that coincide. For instance, what is the probability that you could have an exam today and forget to do your homework? Best believe that such probabilities can get computed. If you get stuck, you can look for statistics assignment help online.