What are the two branches of statistical methods

29.06.2021 By Gojas

what are the two branches of statistical methods

Fundamentals of Statistics

Nov 17,  · These two uses define the two branches of statistics: descriptive statistics and inferential statistics. Descriptive Statistics CONCEPT The branch of statistics that focuses on collecting, summarizing, and presenting a set of data. Nov 17,  · Two branches, descriptive statistics and inferential statistics, comprise the field of statistics.

Shop now. Every day, you encounter numerical information that describes or analyzes some aspect of the world you live in. For example, here how do i build a voltage regulator some news items that appeared in the pages of The New York Times during a one-month period:. Such stories as these would not be possible to understand without statisticsthe branch of mathematics that consists of methods of processing and analyzing data to better support rational decision-making processes.

Interpretation also means knowing when to ignore results, either because they are misleading, are produced by incorrect methods, or just restate the obvious, as whst news story "reported" by the comedian David Letterman illustrates:. USA Today has come out with a new survey. As newer technologies allow people to process and analyze ever-increasing amounts of data, statistics plays an increasingly important part of many decision-making processes today. Reading this chapter will help you understand the fundamentals of statistics and introduce you to concepts that are used throughout this tbe.

The five words population, sample, parameter, wuat singularand variable form the basic vocabulary of statistics. You cannot learn much about statistics unless you first learn the meanings of these five words. EXAMPLES The registered voters selected to participate in a recent survey concerning their intention meyhods vote in the next election, the patients selected to fill out brnaches patient-satisfaction questionnaire, boxes of cereal selected from a factory's production line.

EXAMPLES The percentage of all registered voters who intend to vote in the next election, the percentage of statistival patients who are very satisfied with the care they received, the average weight of all the cereal boxes produced on a factory's production line on a particular day. EXAMPLES The percentage in a sample of registered voters who intend to vote in the next election, the percentage in a sample statistocal patients who are very satisfied with the care they received, the average weight of a sample of cereal boxes produced on a factory's production line on a particular day.

EXAMPLES Gender, the household income of the citizens who voted in the last presidential election, the publishing category hardcover, trade paperback, mass-market paperback, textbook of a book, the number of varieties of metyods brand of cereal. Although you may have heard people saying that they are analyzing their data, they are, more precisely, analyzing their variables. You should distinguish between a variable, such as gender, and its value for an individual, such as male.

An observation is all the values for an individual item in the sample. For example, a survey might contain two variables, gender and age. The twl observation might be male, The second observation might be female, The third observation might be female, A variable is sometimes known as a column of branxhes because of the convention of entering each observation as a unique row in a table of data.

Likewise, you may hear some refer to an observation as a row of data. The values of these variables are selected from an established list of categories. Continuous values are measures, and any value can theoretically occur, limited only by the precision of the measuring process. Academic major, a variable that might have the categories English, Math, Science, and History, among others.

The number of previous presidential elections in which a citizen voted, a discrete numerical variable. Without operational definitions, confusion can occur. A famous example how to invisible on facebook such confusion was the tallying of votes in Florida during the U.

A later analysis [1] determined that three of these definitions, including one pursued by Al Gore, led to margins of victory for George Bush that brxnches from to votes and that the six others, including one pursued by George Bush, led to margins of victory for How to spot a fake police badge Gore that ranged from 42 to votes. I would like to receive exclusive offers and hear about products from InformIT and its family of brands.

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This chapter staristical a basic overview of the discipline of statistics, including common terms, fundamental concepts, and a bit of application. Included are some review questions to help you practice your new knowledge. This chapter is from the book. Overview Pearson Education, Inc. Collection and Use of Information To conduct business and statisticla products and services, Pearson collects and uses personal information in several ways in connection with this site, including: Questions and Inquiries For inquiries and questions, we collect the inquiry or question, together with name, contact details email address, phone number and metjods address and any other additional information voluntarily submitted to us through a Contact Us form or an email.

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1.1 The First Three Words of Statistics

View this answer. The two main branches of statistics are descriptive statistics and inferential statistics. As the name implies, descriptive statistics is involved See full answer below. (1) Descriptive Statistics Descriptive statistics deals with the collection of data, its presentation in various forms, (2) Inferential Statistics. Two branches, descriptive statistics and inferential statistics, comprise the field of statistics. Descriptive Statistics. CONCEPT The branch of statistics that focuses on collecting, summarizing.

Every student of statistics should know about the different branches of statistics to correctly understand statistics from a more holistic point of view. Often, the kind of job or work one is involved in hides the other aspects of statistics, but it is very important to know the overall idea behind statistical analysis to fully appreciate its importance and beauty.

The two main branches of statistics are descriptive statistics and inferential statistics. Both of these are employed in scientific analysis of data and both are equally important for the student of statistics.

Descriptive statistics deals with the presentation and collection of data. This is usually the first part of a statistical analysis. It is usually not as simple as it sounds, and the statistician needs to be aware of designing experiments, choosing the right focus group and avoid biases that are so easy to creep into the experiment.

Different areas of study require different kinds of analysis using descriptive statistics. For example, a physicist studying turbulence in the laboratory needs the average quantities that vary over small intervals of time. The nature of this problem requires that physical quantities be averaged from a host of data collected through the experiment.

Inferential statistics , as the name suggests, involves drawing the right conclusions from the statistical analysis that has been performed using descriptive statistics. In the end, it is the inferences that make studies important and this aspect is dealt with in inferential statistics. Most predictions of the future and generalizations about a population by studying a smaller sample come under the purview of inferential statistics.

Most social sciences experiments deal with studying a small sample population that helps determine how the population in general behaves. By designing the right experiment, the researcher is able to draw conclusions relevant to his study.

While drawing conclusions, one needs to be very careful so as not to draw the wrong or biased conclusions. Even though this appears like a science, there are ways in which one can manipulate studies and results through various means. For example, data dredging is increasingly becoming a problem as computers hold loads of information and it is easy, either intentionally or unintentionally, to use the wrong inferential methods. Both descriptive and inferential statistics go hand in hand and one cannot exist without the other.

Good scientific methodology needs to be followed in both these steps of statistical analysis and both these branches of statistics are equally important for a researcher. Check out our quiz-page with tests about:. Siddharth Kalla Aug 6, Branches of Statistics.

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Login Sign Up. Skip to main content. Siddharth Kalla Descriptive Statistics and Inferential Statistics Every student of statistics should know about the different branches of statistics to correctly understand statistics from a more holistic point of view.

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