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| What is the main purpose of frequency distribution |
This article " What is the main purpose of frequency distribution" will leads towards application of frequency distribution in real life.
What is the main purpose of a frequency distribution?
Frequency
In psychology, frequency refers to the relative number of times an individual experience a particular event over a period of time. This concept may appear simple but it is actually not and some people find this definition hard to understand. Let's take an example: if we count how many times I hear you laugh each day; this could be a result of how often you laugh out loud, but if we asked people like me and you, who were two different people, whether they had heard you laugh so much, you would be very surprised. In fact, your answer will be almost identical to mine. Since frequency is a measure of how common something is, when I experience laughter so many times in one day, then there are more than enough chances for me to believe that you might also enjoy it once in a while too, and you don't need to say anything! Similarly, when you're watching television during half an hour, a certain program comes on one after another, one at a time.
Types of frequencies
There are different types of frequencies: 1D, 2D, 3D, 4D, 5D, 8D, 10D, 12D, 14D, 16D and 18D frequencies. Each type has its own properties and functions and so it would be important to look deeper into the meaning of frequency distributions, so let's discuss them all in details.
1D Frequency
This kind of frequency refers to the quantity of times in which we experience the same event or condition over a short duration of time. For example, if you have been playing football for two years, you will still enjoy football because you played for every minute, never having any break. That's why one would say "the probability is equal" for every second you're looking forward to play that sport; since both are experienced in similar ways.
2D Frequency
This kind of frequency refers to the quantity of times (in which) we experience the same event or condition over a long duration of time. For example, if we watch football players for twenty minutes, we have just enough opportunity to keep liking football again, even though our attention is now focused on other things. Hence, we can state the probability of Football by saying "the probability is equal".
3D Frequency
This kind of frequency refers to the quantity of times in which we experience the same event or condition over a long duration of time. For example, if you watch a soccer match for thirty seconds, you have no enough chance to stay interested in it until eternity. Therefore, it means "the probability is equal" for every second. Also, you would say "the chance of viewing football is equal".
4D Frequency
This kind of frequency refers to the quantity of times in which we experience the same event or condition over a long duration of time. So, it means "the probability is equal" for every minute if you've watched a soccer match thirty times, as it seems to be a sport that you always watch, even you don't have any time left to enjoy it.
5D Frequency
This kind of frequency refers to the quantity of times (in which) we experience the same event or condition over a long duration of time. So it means "the probability is not equal" for each minute if you've watch the soccer game thirty times. It means you have just enough time left to watch a soccer match again without any doubt.
8D Frequency
This kind of frequency refers to the quantity of times (in which) we experience the same event or condition over a long duration of time. Now you understand what is meant by the word 8D frequency. So, the person who's watched football for eight hours, might just view it once a year. However, he is not ready to enjoy football anymore, because he hasn't experienced much about football. He is not sure of his future; hence, the probability is different.
9D Frequency
This kind of frequency refers to the quantity of times in which we experience the same event or condition over a long duration of time. As it seems the TV-series on the current events in America, I am already watching in my living room; therefore it means the chance of observing football will be equivalent to the chance of viewing someone wearing tights. Although the viewer has already seen everything he wants, nevertheless, he may not forget to watch a live football game in order to appreciate the sport. This will be unfair because no sportsmen want to watch football if they never saw a live competition.
10D Frequency
This kind of frequency describes the probability of occasions occurring in the same way over a long duration of time. For example, if you take up swimming, as it seems easy to begin swimming in only five years, one would assume that your body can swim before you even start training. Furthermore, everyone likes to swim against others; we think that we are not able to swim properly. Moreover, nobody thought you could swim against anyone who is better than you in swimming. You can learn more about swimming with other swimmers, reading magazines, watching YouTube videos, going swimming lessons, and joining groups. Nevertheless, you also need to learn how to swim with yourself under the right conditions; otherwise, you'll just keep falling behind the others. And so you don't know how to swim against yourself.
11D Frequency
This kind of frequency refers to the quantity of occasions occurring in the same way over a long duration of time. For example, if you took up boxing, everyone knows that you can beat anybody in boxing. Yet no one thought that you could really fight against yourself; thus, you'll be unable to become the best fighter. Moreover, you will fall behind everyone, because nobody knows how to fight against yourself. Not only you're facing the wrong opponent, you're facing yourself. Also, many people underestimate your capability of fighting myself. Thus, the probability of boxing itself will be smaller than you expected.
12D Frequency
This kind of frequency refers to the probability of occasions occurring in the same way over a long duration of time. This kind of frequency is also known as cumulative probability. If you've never hit one of your opponents yet, then you didn't have any idea of how to face them, so the chance of hitting a person of whom you are yet to see whether she is good or bad is almost zero.
14D Frequency
This kind of frequency refers to the probability of occasions occurring in the same way over a long duration of time. For example, if you've already been studying law for three years but do not have any knowledge of how to write the law, even if you get a degree one day, you won't enjoy law as much as you did before.
16D Frequency
This kind of frequency describes the probability of occasions occurring in the same way over a long duration of time. So, it means you're not prepared for any professional career. You won't do anything, never get employed but still have friends and family who will support you. Unfortunately, nobody is willing to offer employment to someone who doesn't have any skills.
18D Frequency
This kind of frequency refers to the quantity of occasions occurring in the same way over a long duration of time. An instance is if you're preparing for an exam. In order to become great in exams, you'd go through college for three years and then get admitted in a renowned university where you'll study in the same subjects. Otherwise, you might fail due to a shortage of necessary abilities.
Main purposes of a frequency distribution
In statistical theory, there are various purposes of frequency distributions. These reasons explain why it is necessary to use a frequency distribution to analyze the probability of observing a particular event or condition over a specific amount of time. Let us analyze the main purposes of frequency distributions and compare with other tools/techniques used to calculate frequency distributions.
One-sidedness
What does it mean to observe something? How much does something exist? Are there objects that you can observe with your eyes, ears, nose, and so on? These questions can help us to understand the nature of probability and frequency distributions. We can derive the total probability of observing the event over a specific period, but if you are taking the test to assess your performance, the probability is usually measured on one side. There are lots of instances in which we can use a single-sided distribution to calculate probabilities and compute probability distributions. Some students may not have learned about a subject after their first year of school. Others may have studied mathematics several years before that. But they can take the next level of their studies (for example, in the University of Edinburgh). So, the chances of obtaining relevant information can easily show how frequently certain objects can be observed in a given range of places. Consequently, we can say that there are likely to be few occurrences of the same thing more than there are occurrences of the same thing less frequently. So, as far as the probability of seeing something exists, when something happens, the probabilities of observing something can be calculated. Many experiments may be taken on to investigate the natural phenomena of electricity production and flow, the movement of particles, etc. Thus, the probability of observing one of these objects will depend on the amount of observations of such objects on the spot. So, we can say that the chance of finding an object is always proportional to its probability of existence. When there is one occurrence of a target, we say that this occurs more frequently than occurrences of the same target occurring more rarely. Similarly, the probability of receiving an experiment, one of those experiments, will occur more often than the probability of receiving nothing.
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