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Probability and Statistics for Engineering and Science

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Central Tendency - answer-Central tendency is defined as "the statistical measure that identifies a single value as representative of an entire distribution."[2] It aims to provide an accurate description of the entire data. It is the single value that is most typical/representative of the collected data. The four measures of central tendency are mean, median, mode and the midrange. Normal Distribution (bell curve) - answer-In a normal distribution, data is symmetrically distributed with no skew. When plotted on a graph, the data follows a bell shape, with most values clustering around a central region and tapering off as they go further away from the center. inferential - answer-characterized by or involving conclusions reached on the basis of evidence and reasoning comparative experiment - answer-A type of experimental design that involves two or more groups. Extraneous Variation - answer-variance we cannot account for via a random sample Extraneous variable (EV) - answer-Any variable, other than the independent variable (IV), that may have an effect on the dependent variable (DV) if it is not controlled. EVs are essentially nuisance variables that do not vary systematically with the IV. Statistics definition - answer-It is the science of collecting, organizing, summarizing, and analyzing information to draw a conclusion and answer questions. Also, it is about providing measure of confidence in any conclusions.

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Probability and Statistics for
Engineering and Science
Q&A

Central Tendency - answer-Central tendency is defined as "the statistical measure that identifies
a single value as representative of an entire distribution."[2] It aims to provide an accurate
description of the entire data. It is the single value that is most typical/representative of the
collected data.

The four measures of central tendency are mean, median, mode and the midrange.



Normal Distribution (bell curve) - answer-In a normal distribution, data is symmetrically
distributed with no skew. When plotted on a graph, the data follows a bell shape, with most
values clustering around a central region and tapering off as they go further away from the
center.



inferential - answer-characterized by or involving conclusions reached on the basis of evidence
and reasoning



comparative experiment - answer-A type of experimental design that involves two or more
groups.



Extraneous Variation - answer-variance we cannot account for via a random sample



Extraneous variable (EV) - answer-Any variable, other than the independent variable (IV), that
may have an effect on the dependent variable (DV) if it is not controlled. EVs are essentially
nuisance variables that do not vary systematically with the IV.



Statistics definition - answer-It is the science of collecting, organizing, summarizing, and
analyzing information to draw a conclusion and answer questions. Also, it is about providing
measure of confidence in any conclusions.

, Population Statistics - answer-The entire group from which all possible items could be selected
and measured.



Census - answer-A complete enumeration of a population.



When desired information is available for ALL objects in a population



Sample - answer-a subset of the population. It is selected in some prescribed manner



categorical data - answer-variables that have only certain discrete values



numerical data - answer-Data that consists of numbers



Variable - answer-Is any characteristic whose value may change from one object to another in
the population.



Univariate - answer-data that describes a single characteristic of the population



Bivariate - answer-a set of data that has two variables



Multivariate - answer-Observations are made on more than one variable



Investigation - answer-Typically focus on a well- defined collection of objects constituting a
population



Descriptive Statistics - answer-Methods of summarizing and describing important features of
data. Can be graphical or can be calculation of numerical summary measures such as means,
standard deviations, and correlation coefficients.

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