1 Your worries and concerns with charts, graphs and tables
Your course might not include any maths or technical content but, at some point during your course, it’s likely that you’ll come across information represented in charts, graphs and tables. You’ll be expected to know how to interpret this information. This unit will help you to develop the skills you need to do this. This unit can be used in conjunction with the ‘More working with charts, graphs and tables’ unit, which looks into more ways to present statistical information and shows y
Author(s): The Open University

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Learning outcomes
Your course might not include any maths or technical content but, at some point during your course, it’s likely that you’ll come across information represented in charts, graphs and tables. You’ll be expected to know how to interpret this information. This unit will help you to develop the skills you need to do this. This unit can be used in conjunction with the ‘More working with charts, graphs and tables’ unit, which looks into more ways to present statistical information and shows y
Author(s): The Open University

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Elementary Statistics
Elementary Statistics is an introduction to data analysis course that makes use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with emphasis on understanding variation, collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to
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Colour preferences in relation to the foraging performance and fitness of the bumblebee Bombus terre
Bumblebee (Bombus terrestris) colonies showed significant variation in their unlearned preference for violet (bee UV-blue) over blue (bee blue) flowers. Bumblebee colonies with a higher average innate preference for violet (over blue) in the laboratory harvested more nectar per unit time under field conditions. Although this correlation was strong (rs = 0.82), it narrowly missed statistical significance at the 5% level (p = 0.089), but was significant at the 10% level. This increase in foraging
Author(s): Raine, Nigel,Lars Chittka, Chittka

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Getting started with SPSS
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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Fear of Crime: Correlation between Crime Statistics and Demographic Data
The purpose of this module is to introduce students in an online Criminology course to the idea of data analysis using an online analysis program and the General Social Survey. Prior to this module, students will have read several documents describing the scientific method including terminology such as statistical significance, independent and dependent variables, and operationalization. Once students have read this document, they then complete a guided online analysis and turn in their answers
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Advanced Statistical Mechanics
Ensemble theory; noninteracting classical and quantum systems; cluster expansion for interacting systems, many body quantum mechanics, phase transitions, scaling, renormalisation; nonequilibrium thermodynamics; Boltzmann transport equation
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Statistics in Psychosocial Research: Measurement
Presents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; and item response theory. Draws examples from the social sciences, including stress and distress, social class and socioeconomic status, personality; consumer satisfaction, functional impairme
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Statistics for Laboratory Scientists II
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of
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Statistical Reasoning II
Statistical Reasoning in Public Health II provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. The course builds on the material in Statistical Reasoning in Public Health I , extending the statistical procedures discussed in that course to the multivariate realm, via multiple regression methods. New topics, such as methods for clinical diagnostic testing, and univariate, bivariate, and multivar
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Statistical Reasoning I Course Lectures
This website contains a collection of lecture examples on topics such as describing data, Stata, sampling variability & confidence intervals, paired t-test & hypothesis testing, comparing means, comparing proportions, and survival analysis.
Author(s): John McGready

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Back it Up: Reversibility
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Attrative Molecules: Liquids and Solutions
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9 Summary
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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7 Independent T-Tests
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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6 Correlation
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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5 Obtaining descriptive statistics
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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3 Using the Menu
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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1.1 Introduction
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
Author(s): The Open University

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1.7.1:Relative and absolute comparisons
This unit looks at a wide variety of ways of comparing prices and the construction of a price index. You will also look at the Retail Price Index (RPI) and the Consumer Price Index (CPI), indices used by the UK Government to calculate the percentage by which prices in general have risen over any given period. You wil also look at the important statistical and mathematical ideas that contribute to the construction of a price index.
Author(s): The Open University

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