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  • Authors: Bhadra, Dhiman

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  1. Introduction to Statistics

    Authors: Bhadra, Dhiman;

    Reference No: QM0263TEC Pages: 4 Published on: 20, January, 2014

    Abstract: This technical note introduces the concept of Statistics and motivates its importance as an applied field of study. It elaborates on the various stages of a statistical study and explains some of the key notations and terminologies used in the subject. ... More

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  2. Sampling Techniques

    Authors: Bhadra, Dhiman;

    Reference No: QM0264TEC Pages: 8 Published on: 20, January, 2014

    Abstract: This technical note introduces the concept of sampling in the context of statistical studies. Some common sampling mechanisms are discussed along with the associated concepts. Different types of sample surveys and the associated biases are discussed. Finally, some of the major types of observational studies are explained along with relevant ... More

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  3. Goodness of Fit Tests

    Authors: Bhadra, Dhiman;

    Reference No: QM0265TEC Pages: 5 Published on: 23, January, 2014

    Abstract: Goodness of fit tests is a statistical technique used to ascertain whether a given sample originates from a particular distribution (or population). There are different kinds of goodness of fit tests based on the context of study and the population of interest. This technical note discusses two of the most ... More

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  4. Categorical Data Analysis

    Authors: Bhadra, Dhiman;

    Reference No: QM0266TEC Pages: 8 Published on: 25, January, 2014

    Abstract: Categorical data analysis constitute a major branch of Statistics and deals with analyzing, quantifying and interpreting dependence patterns between categorical variables i.e. variables whose observations belong to any one of a set of categories. In this module, we will go over some of the common techniques of evaluating the ... More

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  5. Sampling Distribution Methodology

    Authors: Bhadra, Dhiman;

    Reference No: QM0270TEC Pages: 9 Published on: 26, February, 2014

    Abstract: Sampling distribution is a very important technique that helps us to quantify the “precision” of a statistical inferential procedure by analyzing the distribution (hence variability) of sample summaries about the corresponding population parameter. In this module, we will discuss the sampling distribution of the sample mean and proportion in detail. ... More

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  6. Testing of Hypotheses

    Authors: Bhadra, Dhiman;

    Reference No: QM0272TEC Pages: 9 Published on: 24, March, 2014

    Abstract: In this module, we will discuss the procedure of testing statistical hypotheses which is an important arm of statistical inference. This procedure revolves around the specification of two hypotheses (each a statement about the parameter) and them selecting one of those based on some well defined statistical technique. In doing ... More

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  7. Analyzing Dependent Samples

    Authors: Bhadra, Dhiman;

    Reference No: QM0274TEC Pages: 3 Published on: 10, April, 2014

    Abstract: In this module, we will discuss hypotheses testing and confidence interval procedures for dependent samples i.e samples which are obtained from the same subjects or related individuals (couples, twins etc.). Often, the purpose of doing so is to compare a characteristic (of the subjects) across two (or more) situations. ... More

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  8. Confidence Intervals

    Authors: Bhadra, Dhiman;

    Reference No: QM0271TEC Pages: 7 Published on: 28, February, 2014

    Abstract: In this module, we will discuss one of the most important techniques of statistical inference, that is, the process of constructing an interval that is believed to contain the true parameter value with a certain degree of confidence. These kind of intervals are ubiquitous in the statistical literature and forms ... More

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