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Statistics can be a very challenging course that comes with a lot of homework, quizzes and exams. Statistics is a branch of mathematics. It provides methods for making decisions from knowledge. Statistics can also be defined as the science of learning from data or information that has been collected; it includes inferential processes of summarizing a population by studying one or more samples drawn from it. Statistics provides ways to help distinguish chance variation in data from meaningful patterns such as trends or relationships among variables.

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**Applied statistics**: The use of statistical techniques to solve practical problems. Applied statistics is an important field of study since it is often the only way that we can use statistics to analyze data.**Descriptive statistics**: The data that we learn from when we collect information about a population can be summarized in many different ways, depending on the type of data we have collected. For example, suppose you wanted to find how many pizza restaurants were open for business in your town. You could get a list of all the pizza places and the times they are open, or telephone each one you see listed in the phone book and ask if it is open right now. By counting these responses and listing them by number or time period, you would come up with some descriptive statistics about local pizza restaurants hours of operation.**Correlation**: In statistics correlation measures how two variables change together and the strength of a relationship between two variables. Correlation is used to find out if there is any meaningful relationship between attributes in your data set.**Probability**: The likelihood that something will occur, expressed as the ratio of favorable outcomes to all possible outcomes. It is also a branch of mathematics dealing with random phenomena such as gambling or estimating the number of germs present in a room given the amount which you have sampled and their probable detection rate.**Statistical inference**: This is the process of using sample information to draw conclusions about a larger population. For example, if you get a survey response of 10% from the 5,000 households in your town and find that this percentage falls between 8 to 12 percent, you can infer or guess that most other people also responded around 10% and draw conclusions about them.**Regression analysis**: it has two meanings. One is statistical regression – which means estimating future values by fitting a curve through points generated by past data. The other meaning refers to giving someone advice on how they should act or behave after taking their circumstances into consideration. In statistics, regression analysis helps us to determine the relationship between variables. We use regression analysis when we want to predict one variable knowing another and vice versa.**Probability Distribution**: A table showing the probability of a given outcome for each possible value that another variable can have. Each row in the table describes a different possible value or state of an attribute whose probability is being estimated. The first column gives the values of that attribute and the second column its corresponding probability.**Hypothesis testing**: It is used whenever you want to verify a claim by using data collected via random sampling methods called a test statistic. It is a method commonly used by researchers in the social sciences and pharmaceutical companies to see if their new drug has some effect on patients, or if it is safe for consumption.**Biostatistics**– Biostatistics is the application of statistical methods to the biomedical research. Biostatistics involves collecting, analyzing and interpreting data related to biology, medicine and health.**Probability theory**– Probability theory assignment help is the branch of mathematics that studies the way one event influences another. It is used to describe and model random events, and also to predict their results.The Probability of an Event (or “P”) is defined as the number of ways in which an event can happen divided by the total number of possible outcomes.

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## What is statistics in math?

Math is all about numbers and symbols. It is one of the branches of Mathematics and it is mainly concerned with the collection, analysis, and display of data. Statistics is defined as a branch of mathematics that collects, analyses, records and interprets numerical data which are organized in a certain way in order to answer questions.

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## Popular terms used in statistics online help

The first thing that you must know about statistics is how it is approached in class as opposed to other math courses. Statistics does not normally teach the steps one by one or in order; instead it teaches concepts and ideas. Because of this approach, students struggle with different aspects of stats including vocabulary, formulas and processes.

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The following is a list of the most common terms that are used in statistics:

**Population vs. Sample**: a population is defined as an entire group of objects, organisms or people whose characteristics we want to study; samples are a part of the population and have fewer things than the total amount of population members.**Null hypothesis vs. Alternative hypothesis**: hypotheses are two possible explanations for something, and they give us a reason for doing our experiment/study; null can be viewed as “nothing happened”, so it’s just stating what would happen if nothing else affects the process, while alternative is everything else that could possibly affect the process (in statistics it’s usually an option that you favor)**Parameter vs. statistic**: a parameter is simply a number which gives us information about the population of objects that we are studying, and it cannot be calculated from the sample; they can also be referred to as an estimator when talking about populations because they give us a guess or an approximation of what would happen if we were to do the experiment on the entire population. These are usually numbers that come from measuring physical characteristics such as weight, height, length etc., while statistics are variables in data sets that usually represent percentages and relationships between different members of our sample group**Measuring vs. Ranking**: when we measure something we assign units of measurements to each member in our data set so that we have some form of measurement based on how much that particular member is compared to the rest. For example, we could measure how much someone weighs and compare it to other people in the data set. Ranking is simply the process of putting members of our data set into a specific order based on one or more variables in that group.

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