Learn Regression Analysis
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PSYC210
PSYC210
By: Maddy Teape
Lecture 1- The Scientific Method, Lecture 2- Experimental Design 1, Lecture 3- Experimental Design 2 ...31Decks488Flashcards26Learners -
biostatistics
biostatistics
By: Timi Lamikanra
lecture one, lect 2 desctriptive and inferencial statts and CI, lecture 3 ...7Decks180Flashcards9Learners -
Data Science & Big Data Analytics
Data Science & Big Data Analytics
By: Tom Burgoyne
01. Introduction to Big Data Analytics, 12. The Endgame, or Putting It All Together, 11. SQL Essentials & Advanced ...14Decks231Flashcards42Learners -
ml4t - final
ml4t - final
By: sam thode
Technical Analysis, Dealing with Data, Efficient Market Hypothesis ...6Decks31Flashcards33Learners -
PSYC2010
PSYC2010
By: Olivia Cosham
Independent Groups ANOVA - analysis of variance, Follow up Tests, ANOVA effect size & repeated measures ...8Decks155Flashcards7Learners -
Quantitative Analysis For Business
Quantitative Analysis For Business
By: Emma Whitney
Chapter 1: What Is Statistics, Chapter 2: Graphical Descriptive Techniques I, Chapter 3: Graphical Descriptive Techniques II ...13Decks287Flashcards11Learners -
Statistics
Statistics
By: longboarding2839 Unknown
Intro, Descriptive Statistics, Correlation ...13Decks221Flashcards1Learner -
STAT PSY3062
STAT PSY3062
By: Birwe Leon
Research design and appropriate analyses, Parametric test assumptions, Correlations and linear regression ...9Decks431Flashcards2Learners -
PO2508 (University of Aberdeen)
PO2508 (University of Aberdeen)
By: Isaac Swain
1.1. Types of Data, 1.2. Graphical Presentation, 2.1. Descriptive Statistics ...11Decks119Flashcards1Learner -
advanced stats
advanced stats
By: Sarah Ashmori
Higherarchial anova, Random Factors, modelling ...9Decks267Flashcards1Learner -
QUANT CONTENT 2024
QUANT CONTENT 2024
By: evieee blackledge
Factor analysis, Dealing with social desirability bias, questionnaire design ...19Decks118Flashcards1Learner -
STAT 353
STAT 353
By: Jura Stewart
data analysis: summary and ANOVA tables, simple linear regression - important things to know, multiple linear regression - important things to know3Decks48Flashcards2Learners -
Maths
Maths
By: Ceira Townsend
Analysis of Data, Finance, Unit 7: Correlation and regression3Decks26Flashcards1Learner -
Research 2
Research 2
By: Lauryn Kobiela
Intro bio stats (1), Surveys/Quest and Systematic review/meta-analysis (2), Outcome measures/reliability and validity (3) ...13Decks557Flashcards9Learners -
Research Methods and Stats 4
Research Methods and Stats 4
By: Hannah Bricklebank
1. Thematic Analysis, 2. Grounded Theory, Interpretative Phenomenological Analysis ...9Decks133Flashcards1Learner -
Research Skills and Principles for the Biosciences-Lecture 1
Research Skills and Principles for the Biosciences-Lecture 1
By: Hannah Condie
Lecture 1, Histograms, Populations, Parameter and Interferance ...13Decks244Flashcards1Learner -
Epidemiology
Epidemiology
By: Birwe Leon
Measures of Association, Surveillance and Trends, Standardization and Life Tables ...13Decks327Flashcards1Learner -
NUR4103B
NUR4103B
By: Unknown Unknown
Sampling and data collection, reliability, experimental studies ...10Decks186Flashcards1Learner -
ETC2560
ETC2560
By: Cindy Patricia
exploratory data analysis (week 1-2), Linear regression (week 3-5), Generalised Linear Model (week 6-8) ...4Decks146Flashcards1Learner -
Stats Jan 2015 exam
Stats Jan 2015 exam
By: Jacq Dennison
Simple Linear Regression, Multiple Regression, Factor Analysis ...4Decks89Flashcards3Learners -
GOV 321
GOV 321
By: Mari Bardsen
Philosophies and stand points, Sampling, Measurement ...12Decks137Flashcards1Learner -
365 Data Science - Machine Learning in Python
365 Data Science - Machine Learning in Python
By: R W
Linear Regression, Logistic Regression, Cluster Analysis3Decks94Flashcards4Learners -
ACS Gorbold 2022 (Stats)
ACS Gorbold 2022 (Stats)
By: Bob Gorbold
0.1 AP Stats: Big Ideas, 1.2 Variables, 1.3-1.4 Categorical Variables ...20Decks239Flashcards30Learners -
Statistics Exam
Statistics Exam
By: Rosie Jobling
Multiple Regression, Multiple Regression, Factor analysis ...4Decks101Flashcards5Learners -
POLI301
POLI301
By: Wren Smith
Ch. 1: Introduction, Ch.2: Reviewing the Literature, Ch. 3: Asking Questions in Political Science ...12Decks173Flashcards1Learner -
ADVANCED RESEARCH SKILLS
ADVANCED RESEARCH SKILLS
By: Alicia Lowe
Week 1: secondary variables, invalidity, reporting, Week 2: One-way ANOVA, SS, Df, MSE, Fstat, Effect sizes, Week 3: ANOVA assumptions, power and mean comparison ...11Decks258Flashcards3Learners -
Quantative Methods For Business
Quantative Methods For Business
By: Hannah Foley
Microsoft Excel, W2 Regression Analysis Single, week 1 intro ...14Decks281Flashcards3Learners -
DS6502 Data Analysis & Visualisation
DS6502 Data Analysis & Visualisation
By: Holly Hayes
Section A.1: Introduction to Statistics, Section B.1: Data Exploration/Data Cleansing, Section A.2: Univariate analysis ...8Decks172Flashcards3Learners -
MIT 18-S096F13 - Finacial Mathematics
MIT 18-S096F13 - Finacial Mathematics
By: Thomas Reddy
Introduction, Financial Terms and Concepts, Linear Algebra, Probability Theory ...6Decks346Flashcards3Learners -
Data Science
Data Science
By: Alex Rosa
7. Big Data - Hadoop Ecosystem, 3. Programming - R Language, 2. Math & Statistics - Exploratory Data Analysis ...25Decks139Flashcards192Learners