'T values' diaporamas de présentation

Random Field Theory

Methods for Dummies 2008. Random Field Theory. Ciaran S Hill & Christian Lambert. Overview. PART ONE Statistics of a Voxel Multiple Comparisons and Bonferroni correction PART TWO Spatial Smoothing Random Field Theory. PART I. design matrix. parameter estimates. image data. kernel.

1.12k views • 59 slides

The Population Mean and Standard Deviation

The Population Mean and Standard Deviation. ?. X. ?. Computing the Mean and the Standard Deviation in Excel. ? = AVERAGE(range) ? = STDEV(range). Exercise. Compute the mean, standard deviation, and variance for the following data: 1 2 3 3 4 8 10 Check Figures Mean = 4.428571

889 views • 42 slides

The T-Test for Two Independent Samples

The T-Test for Two Independent Samples. Introduction to Statistics Chapter 10 Oct 20-22, 2009 Classes #18-19. A limitation of the t-test from chapter 9. Referred to as the one-sample t-test because can only test hypotheses concerning one sample

1.2k views • 38 slides

Chapter 11: Inference About a Mean

541 views • 37 slides

Estimation

678 views • 35 slides

Statistical Analysis

Statistical Analysis. HL Biology 2010. Topic 1.1: Statistics. 1.1.1: State that error bars are a graphical representation of the variability of data 1.1.2: Calculate the mean and standard deviation of a set of values

586 views • 32 slides

Planar Shadow Map with Edge Buffer

Planar Shadow Map with Edge Buffer. Final Project for C.S. 870 By Shawn Brown. Goals. Reduce BIAS: reduce artifacts casued by self-intersection and numerical precision by storing a plane equation instead of single depth value at each pixel in shadow map.

675 views • 28 slides

Velocity and Acceleration Graphing Activity

Velocity and Acceleration Graphing Activity. *Note: In this activity, X means position or change in displacement!!! (meters) v = velocity (m/s), and t = time (s) All calculated acceleration values will be in units of m/s 2. 1.) X = 3(t-2) 2 + 3 from t= 1 to t= 3

177 views • 7 slides