stats

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a poster with instructions on how to use correlations for graphs and diagrams
Correlation Poster
Correlation | Maths Numeracy Educational School Posters
a black and white diagram with words on it
Interpretation of p-values
three diagrams showing the different types of electrical wire and their corresponding connections to each other
Visualizing samples with box plots - Nature Methods
Quartiles are more intuitive than the mean and s.d. for samples from skewed distributions.
an info sheet describing the different types of trees and how they can be used to make them
How to Understand and Implement Regression Analysis
They say a picture speaks 1000 words. So to summarize regression analysis, I've created an infographic. But first what is regression analysis? #infographic #regressionanalysis #machinelearning #pythonprogramming #artificialintelligence #mathematics #algorithms
an info sheet with information about the different types of computers and their functions in it
Inferential Statistics: Types of Calculations, Definition, and Examples
Inferential Statistics types of calculation - infographic
the differences between normal and ordinal data in an info sheet, with text below
6 Types of Data in Statistics & Research: Key in Data Science
6 Types of Data: Every Statistician & Data Scientist Must Know
the four types of words that are used to describe what they mean
Understanding Type I And Type II Errors Statistics Postcard | Zazzle
Understanding Type I And Type II Errors
a poster with words describing different types of data visual processing and the same type of text
Linear Regression predict scores on one variable from second variable Linear Regression predicting variable is criterion variable Linear Regression predicting variable is referred to as Y Linear Regression base variable is predictor variable Linear Regression base variable is referred to as X Linear Regression types simple regression - single independent variable Linear Regression types multiple regression – two or more independent variable Linear Regression consists of finding best-fitt
the null and research hypothhes are two types of hypothhises
Inquiry Session #2: Goal Setting and Backward Design Every statistical test starts with a null hypothesis. As scientists, we have to assume an "innocent until proven guilty" mindset; meaning, we have to assume that our study has no significance until we can prove that it does. The null hypothesis states that our study has no significance and we need to reject it.
the differences between non - parametric and non - parametric
Parametric Statistics NonParametric Statistics