Lecture 7: Hypothesis Testing and ANOVA
•The null hypothesis is that the means are all equal •The alternative hypothesis is that at least one of the means is different –Think about the Sesame Street® game where three of these things are kind of the same, but one of these
Download Lecture 7: Hypothesis Testing and ANOVA
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Advertisement
Documents from same domain
Lecture 10: Multiple Testing - UW Genome Sciences
www.gs.washington.eduWhy Multiple Testing Matters Genomics = Lots of Data = Lots of Hypothesis Tests A typical microarray experiment might result in performing 10000 separate hypothesis tests.
Tests, Multiple, Testing, Hypothesis, Hypothesis tests, Multiple testing
DNA Isolation from Strawberries
www.gs.washington.edusource for extracting DNA because they are easy to pulverize and contain enzymes called pectinases and cellulases that help to break down cell walls. And most important, strawberries have eight copies of each chromosome (they are octoploid), so there is a lot of DNA to isolate. The purpose of each ingredient in the procedure is as follows:
Form, Isolation, Strawberries, Extracting, Dna isolation from strawberries
Lecture 10: Multiple Testing
www.gs.washington.eduFalse Discovery Rate m 0 m-m 0 m V S R Called Significant U T m - R Not Called Significant True True Total Null Alternative V = # Type I errors [false positives] •False discovery rate (FDR) is designed to control the proportion of false positives among the set of rejected hypotheses (R)
Lecture 4: Random Variables and Distributions
www.gs.washington.edu•Before data is collected, we regard observations as random variables (X 1,X 2,…,X n) •This implies that until data is collected, any function (statistic) of the observations (mean, sd, etc.) is also a random variable •Thus, any statistic, because it is a random variable, has a probability distribution - referred to as a sampling ...
I-9 Form: Instructions for Nonresident on H-1B or TN Visa
www.gs.washington.eduI-9 Form: Instructions for Nonresident on H-1B or TN visa Instructions for both New Hires and Updating & Reverification For more detailed information about completing Form I-9, employers and employees should refer to the Handbook for Employers: Instructions for Completing Form I-9 (M-274). _____
Lecture 5: Estimation - University of Washington
www.gs.washington.eduBayesian Estimation: ÒSimpleÓ Example ¥I want to estimate the recombination fraction between locus A and B from 5 heterozygous (AaBb) parents. I examine 30 gametes for each and observe 4, 3, 5, 6, and 7 recombinant gametes in the Þve parents. What is the mle of the recombination fraction? ¥Tedious to show Bayesian analysis. LetÕs simplify ...
Lecture 9: Linear Regression - University of Washington
www.gs.washington.eduLecture 9: Linear Regression. Goals • Linear regression in R •Estimating parameters and hypothesis testing ... •Previous coding would result in colinearity •Solution is to set up a series of dummy variable. In general for k levels you need k-1 dummy variables x 1 …
1. Plasmid structure 2. Plasmid replication and copy ...
www.gs.washington.eduPlasmid replication requires host DNA replication machinery. 2. Most wild plasmids carry genes needed for transfer and copy number ... Large or small region of homologous DNA cloned that will integrate into the chromosomal target. 5. Need a counter selection method to kill the donor cells 6. Screen for what you think is correct.
Lecture 2: Descriptive Statistics and Exploratory Data ...
www.gs.washington.eduMultivariate Data •Organize units into clusters •Descriptive, not inferential •Many approaches •“Clusters” always produced Clustering Data Reduction Approaches (PCA) •Reduce n-dimensional dataset into much smaller number •Finds a new (smaller) set of variables that retains most of the information in the total sample
Related documents
Electrical Review Lecture Fundamentals of Engineering (FE)
www.coe.utah.edu12. (B) 13. (A) 14. (C) 15. (A) 16. (C) 17. (D) 18. (C) 19. (D) 20. (A) 21. (B) ECE FE Review p1 Electrical Engineering FE Review Lecture. Electrical Engineering FE Review Lecture A. Stolp 4/24/15 Basic electrical quantities Letter used Units Fluid Analogy Charge, actually moves Q Coulomb (C) m3 Current, like fluid flow I = Q sec
Lecture, Electrical, Engineering, Review, Fundamentals, Electrical review lecture fundamentals of engineering, Review lecture
Lecture 9: CNN Architectures
cs231n.stanford.eduLecture 9 - 8 May 2, 2017 Review: LeNet-5 [LeCun et al., 1998] Conv filters were 5x5, applied at stride 1 Subsampling (Pooling) layers were 2x2 applied at stride 2 i.e. architecture is [CONV-POOL-CONV-POOL-FC-FC]
Spacecraft and Aircraft Dynamics
control.asu.eduApproach: From Lecture 4, any two coordinate systems can be related through a sequence of three rotations. Recall these transformations are: Roll Rotation (φ) : R1(φ) = 1 0 0 0 cosφ −sinφ 0 sinφ cosφ Pitch Rotation (θ): R2(θ) = cosθ 0 sinθ 0 1 0 −sinθ 0 cosθ Yaw Rotation (ψ): R3(ψ) = cosψ −sinψ 0 sinψ cosψ 0 0 0 1
Systems Analysis and Control
control.asu.eduReview Recall:Frequency Response Input: u(t) = Msin(!t+ ˚) Output: Magnitude and Phase Shift y(t) = jG({!)jMsin(!t+ ˚+ \G({!)) 0 2 4 6 8 10 12 14 16 18 20-2-1.5-1-0.5 0 0.5 1 1.5 2 2.5 Linear Simulation Results Time (sec) Amplitude Frequency Response to sin!tis given by G({!) M. Peet Lecture 21: Control Systems 3 / 31
Lecture 8: Rules for Matrix Math 2270 Operations
www.math.utah.eduMath 2270-Lecture 8: Rules for Matrix Operations Dylan Zwick Fall 2012 This lecture covers section 2.4 of the textbook. 1 Matrix Basix Most of this lecture is about formalizing rules and operations that we’ve already been using in the class up to this point. So, it should be mostly a review, but a necessary one. If any of this is new to you ...
ECE 410: VLSI Design Course Lecture Notes
www.egr.msu.eduECE 410, Prof. F. Salem Lecture Notes Page 2.12 • Physical Structure of a MOSFET Device • Schematic Symbol for 4-terminal MOSFET • Simplified Symbols MOSFET Physical View source drain Substrate, bulk, well, or back gate gate nMOS pMOS critical dimension = “feature size”
Lecture, Notes, Design, Course, Vlsi, Vlsi design course lecture notes
CS229T/STAT231: Statistical Learning Theory (Winter 2016)
web.stanford.eduApr 20, 2016 · CS229T/STAT231: Statistical Learning Theory (Winter 2016) Percy Liang Last updated Wed Apr 20 2016 01:36 These lecture notes …
Lecture, Statistical, Learning, Theory, Statistical learning theory