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  1. Hace 6 días · Variance is a statistic that measures how much a probability distribution deviates from its expected value. Learn how to calculate variance, its properties and how it relates to standard deviation and covariance.

  2. Hace 1 día · 7 Final project. 7. Final project. The purpose of this project is for you to gain applied experience using linear models (i.e., regression and ANOVA). The final project will include: 1) a written report; 2) a tutorial with reproducible results; 3) a peer review; and 4) a professional presentation. You may work alone or with another person.

  3. Hace 4 días · Pearson correlation coefficient. Several sets of ( x , y) points, with the correlation coefficient of x and y for each set. The correlation reflects the strength and direction of a linear relationship (top row), but not the slope of that relationship (middle), nor many aspects of nonlinear relationships (bottom).

  4. Hace 2 días · One-way analysis of variance (ANOVA) is a statistical method for testing for differences in the means of three or more groups. Learn when to use one-way ANOVA, how to calculate it and how to interpret results.

  5. Hace 2 días · The normal distribution, also called the Gaussian distribution, is a probability distribution commonly used to model phenomena such as physical characteristics (e.g. height, weight, etc.) and test scores.

  6. Hace 3 días · Regression Model Assumptions. We make a few assumptions when we use linear regression to model the relationship between a response and a predictor. These assumptions are essentially conditions that should be met before we draw inferences regarding the model estimates or before we use a model to make a prediction.

  7. Hace 5 días · The variance is a measure of how far a set of numbers is spread out. It is one descriptor of a probability distribution, describing how far the numbers lie from the mean. It forms part of a systematic approach to distinguishing between probability distributions.

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