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Introduction to Statistics: in short

  • Statistics comprises the arithmetic procedures to organize, sum up and interpret information. By means of statistics you can note information in a compact manner.
  • The aim of statistics is twofold: 1) organizing and summing up of information, in ...

Recognizing commonly used statistical symbols

In short: Recognizing commonly used statistical symbols

  • Most of the statistical symbols are greek, latin and mathematical symbols and each has a different meaning in statistics.
  • On this page you will find the most commonly used statistical symbols in alphabetical order with their n...

Applying correlation, regression and linear regression

Correlation, Regression, Linear Regression

  • Correlation versus regression
  • Correlation
  • Regression

Correlation versus regression Correlation and Regression are the two analysis based on multivariate distribution. A multivariate distribution is described ...

Applying multiple regression

Multiple regression

  • Multiple correlations
  • Partial and semi-partial correlation
  • Constants and regression weights
  • Testing: from samples to population
  • Multicollinearity and outliers
  • Mediating and moderating relations

Predicting ...

Applying logistic regression

Logistic regression

  • Logistic regression
  • Assumptions logistic regression
  • Coding binary variables
  • Graphical displaying logistic regression
  • Logistic regression and odds
  • Evaluation of the logistic model
  • Classification analysis

Understanding reliability and validity

In short: reliability and validity

  • Reliability refers to the consistency of a measurement. A reliable measurement is one that gives consistent results when repeated under the same or similar conditions. For example, if you take a thermometer and measure the temperature of a cup of water ...

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Learn, study or share statistics worldwide Search and find summaries, study notes, tips and tools for Business, Psychology, Pedagogy or Social Sciences

Statistics Magazine: Understanding statistical samples

In short: Statistical samples

  • A statistical sample is a small group of people or things that is used to represent a larger group. This is often done because it is not possible or practical to measure the entire group.
  • If the sample is representative of the larger group, then the re...

Understanding distributions in statistics

Distributions in Statistics

  • Normal distribution
  • Chances, proportions and scores
  • The binomial distribution
  • Categorical data and Chi-square
  • The Chi-square distribution

Normal distribution The normal distribution is a symmetric, bell-sh...

Understanding inferential statistics

Inferential statistics

  • Inferential statistics
  • Testing hypotheses

Inferential statistics Descriptive statistics describes data (for example: how many people have partners and how many do not? How many people have children and how many do not?) and inferential s...

Applying z-tests and t-tests

z-tests and t-tests

  • The z-test
  • The t-test

The z-test Generally, we do not know the value of the standard deviation of the  (σ), and we have to estimate it with the standard deviation of the sample population (s). However, if we do know the standard ...

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