Learn Regression Analysis
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Research Design and Ethics
Research Design and Ethics
By: Christina B
ANOVA, Assumptions, Multiple Regression10Decks100Flashcards1Learner -
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Managerial Economics
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S1 - Fundamentals, S1 - Market forces, S1 - quantitative demand analysis15Decks136Flashcards1Learner -
statistics
statistics
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nonparametric, Introduction to statistics, sampling methods14Decks125Flashcards1Learner -
Statistics for Data Analysis
Statistics for Data Analysis
By: Kelly Carmody
Fundamentals of Descriptive Statistics(Udemy Statistics for Data Science and Business Analysis), Measures of Central Tendency, asymmetry, and variability(Udemy Statistics for Data Science and Business Analysis), Distributions(Udemy Statistics for Data Science and Business Analysis)8Decks84Flashcards1Learner -
Research Methods And Statistics
Research Methods And Statistics
By: Rebecca Hume
Measurements / Boxplots / Frequency - Week One, Central Tendancy + Effect Size - Week Two, Correlations - Week Three11Decks98Flashcards1Learner -
Machine Learning
Machine Learning
By: Sai Sawant
Module 2_ 1. Plotting for exploratory data analysis (EDA), Module 2_ 2. Linear Algebra, Module 2_ 3. Probability and Statistics8Decks119Flashcards1Learner -
Maths
Maths
By: Nadia Alex
Regression/Scatter graphs, Sample Data, Null and Alternative Hypotheses5Decks30Flashcards2Learners -
Year 3 - Sci Lit
Year 3 - Sci Lit
By: Anna Van Dekerkhove
1 - Intro to Stats, 2 - Inference & Hypothesis Testing, 3 - Life Tables8Decks121Flashcards1Learner -
Stats
Stats
By: Stu Gibson
Data description, populations and the normal distributions, Standard errors and confidence intervals, Linear regression and correlation5Decks109Flashcards1Learner -
Stats from Quick Study Academic Outline
Stats from Quick Study Academic Outline
By: Allegra Starr
Basic Definitions, Frequency Distribution, Measures of Central Tendency28Decks36Flashcards3Learners -
MGT6203
MGT6203
By: Andre White
Week1 - A - Steps in Regression Analysis, Week1 - B - A Real Estate Example, Week1 - C - Notation3Decks33Flashcards1Learner -
Data&Stats (Year2)
Data&Stats (Year2)
By: Hanna <3
Different types of scientific evidence, Outcome measures, P-values and confidence intervals10Decks74Flashcards1Learner -
CSSC Lean Six Sigma- GreenBelt
CSSC Lean Six Sigma- GreenBelt
By: Benson Peters
White Belt Chapter 1: What is 6s?, White Belt Chapter 2: Six Sigma Hx & Application, White Belt Chapter 3: Other Process Improvement & Quality Methods18Decks146Flashcards9Learners -
Geographical Methods
Geographical Methods
By: rachael piddington
Introduction, Confirmatory statistics and regression analysis2Decks50Flashcards1Learner -
Introduction to Statistics: Chapters
Introduction to Statistics: Chapters
By: Tim Slingsby
Chapter 1: Data structures, research methods and statistics, Chapter 2 - Frequency Distribution, Chapter 3 - Central Tendency17Decks43Flashcards2Learners -
Statistics
Statistics
By: Adeishe Hyera
Experimental designs, Exploratory Factor Analysis, Questionnaire design6Decks73Flashcards1Learner -
VNUA_Economic Analysis of Agri Markets
VNUA_Economic Analysis of Agri Markets
By: Kieu Anh Nguyen
#CH1: Intro to Econ Analysis of Agri Markets, #CH2: The Firms & Its Goals, #CH3: Supply & Demand7Decks19Flashcards1Learner -
IBR
IBR
By: Agathe Vaillant
1 - Research Statistics And Business Decisions, 2 - Contrastting Philosophies And Approaches, 3 - Ethical Issues In Research17Decks182Flashcards1Learner -
dsStatistics
dsStatistics
By: George Houston
Descriptive statistics, Probability, Confidence intervals & statistical testing16Decks67Flashcards1Learner -
ESU PSY 201 Quantitative Psychology
ESU PSY 201 Quantitative Psychology
By: T B
Sections 1-3 Descriptive vs. Inferential & Scales of Measurement, Sections 4-7 Frequency (Distributions and Cumulative), Percentages, and Percentiles, Sections 8-9 Histograms, Polygons, and Distributions23Decks97Flashcards1Learner -
Quantitative Methods
Quantitative Methods
By: Kathryn Mecklosky
The What and How of Statistics, Describing Data and Distributions, The Shape of Distributions12Decks104Flashcards1Learner -
Data Science - WSU
Data Science - WSU
By: Troy Kirin
Linear Regression, Classification, KNN10Decks62Flashcards1Learner -
Marketing research
Marketing research
By: Alex Katz
Oct 8, Oct 10 - Sample plan, Oct 10 - Sample size8Decks72Flashcards1Learner -
Methods
Methods
By: Matt George
Lecture 1: Introduction, Lecture 2: Correlation, Lecture 3: Scale Development (1)18Decks81Flashcards1Learner -
Econometrics
Econometrics
By: Taylor Syhorst
Chapter 1, Chapter 4 - Regression Analysis2Decks22Flashcards1Learner -
Statistics
Statistics
By: Alysa Ley
Descriptive questions: Data, Chapter 1: extra begrippen, Z-values, T-values, and the binomial distribution7Decks27Flashcards1Learner -
SDA
SDA
By: Lottie Coleman
Introduction & Nature of Numerical Data, Methods of Representing Quantitative Data, Principles of Sampling (I): Design8Decks73Flashcards1Learner -
Quantitative methods
Quantitative methods
By: Haining Huang
Week2| Population parameters, Week3 | Matched test Z/t test, Week 411Decks44Flashcards1Learner -
STAT Big Data Analytics
STAT Big Data Analytics
By: Birwe Leon
Lecture 1: Understanding Big Data, Lecture 2: Big Data Analytics Applications, Lecture 3: Big Data Utilisation & Adoption13Decks88Flashcards1Learner -
Research Methods D
Research Methods D
By: Bowman Nixon
1. Multiple Regression, 2. Logistic Regression, 3. Moderation and Mediation7Decks40Flashcards1Learner