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Statistics is the science of learning from data, and of computing, monitoring, and connecting uncertainty. In other words, it is the science that deals with developing and reviewing methods for gathering, evaluating, deducing, and presenting experimental data.
Statistics is a course that connects to all other disciplines. It is applicable in virtually all research studies and technical fields that stimulate the advancement of new techniques and statistical principles. In mapping out new methods and related underlying theory, statisticians utilize a wide range of tools but the fundamental tools are scientific and arithmetic tools. In statistics, there are two fundamental factors which affect scientific and real-life occurrences and these are variation and uncertainty.
It is difficult to ascertain a situation based on the outcome. We have two major types of statistics namely descriptive and inferential. This type of statistics involves the presentation, collection and management of data. This is often the initial stage of statistical evaluation. Basically speaking, it defines a set of graphical data by showing the given related information or describing the measures of central tendencies and its distribution. It is used to calculate the mean, mode and median.
This implies deducing the correct outcome of any statistical operation. In this type of statistics, information is inferred from a given population using the sampling data. Here, it is inferences that make this evaluation significant. Most experiments that deal with social sciences are carried out using a minor sample population which eventually ascertains the behavior of the population.
One needs to pay attention to every detail when drawing conclusion to avoid getting the wrong solution to a perfectly organized data. As common with other subjects, Students and statisticians do encounter problems with statistics assignment topics.
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Engineers use statistics to scale standards for product safety, security and quality. Scientists employ statistical methods to conduct efficient experiments. Economists apply statistical techniques in foreseeing future economic tendencies.
Questions in statistics and probability can sometimes be pretty tricky and acquire a lot of time, knowledge and effort. It also sometimes occurs that the assignments do not always correspond with the knowledge and information given to the students within the course.
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There are a lot of different math tricks that can impress you with their beauty and compactness. The formula of computing such probability is as follows:. For example, if the total number of persons insured at the age of 20 Years is and the number of such persons dying was found to be , the empirical probability of the death is given by.
It is to be noted that when the number of observations is very large, the empirical probability of an event is taken as the relative frequency of its occurrence, and that such probability is equal to the prior probability.
A probability which is calculated on the basis of some historical data, common experience, recorded evidence, or rigorous analysis is called objective probability.
Probabilities of various events in rolling of dice, or flipping of coins are examples of objectives probability in as much as they are based on dependable evidences. A probability which is calculated on the basis of personal experience or opinion is called a subjective probability.
Probabilities of earning super profits for 10 years are the examples of subjective probability in as much as such probabilities are calculated purely on the basis of personal opinion of some experts. The probability of a dependent event is called a conditional probability. If there are two dependent events, say A and B the conditional probability.
If there are two dependent events, say A and B the conditional probability of A given that B has happened is given by ;. And the conditional probability of B given that A has happened is given by.
Which represents that the probability of A, B and C is equal to the probability of A times the probability of B given that A has happened, B times the probability of C given that both A and B have happened. It is to be noted that where conditional probability is attached to the two independent events say A and B, the conditional probabilities of A and B will be represented thus:. The product of a prior probability and a conditional probability is the joint probability of any two dependent or independent events.
The values of joint probabilities of any two events can be better represented through a table known as the Joint Probability Table in which the intersection of the rows and columns are shown as the joint probabilities of the various events.
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Probability refers to ‘an event’ the happing and non-happening of which is uncertain, or contingent. Literally, it means a chance, a possibility, likelihood, or an odd. We provide probability homework help. Probability Homework Help. In My Geeky Tutor we can help you with your Probability Homework assignment, at any level. If you are taking a college Probability or Statistics .
The terms probability and statistics always make sense when used together despite the fact that the two words have different meanings. This owes to the reality that probability is a measure of how likely an event would occur while statistics is a branch of mathematics that permits researchers to . Home» Statistics Homework Help» Types of Probability There are different types of probability which are briefly identified here as under: (i) Prior Probability: It is also known as the classical or mathematical probability which is associated with the games of chance viz, tossing a coin, rolling a die, drawing a ball etc.