Title
Comparing Groups: Randomization And Bootstrap Methods Using R,New
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
A Handson Guide To Using R To Carry Out Key Statistical Practices In Educational And Behavioral Sciences Researchcomputing Has Become An Essential Part Of The Daytoday Practice Of Statistical Work, Broadening The Types Of Questions That Can Now Be Addressed By Research Scientists Applying Newly Derived Data Analytic Techniques. Comparing Groups: Randomization And Bootstrap Methods Using R Emphasizes The Direct Link Between Scientific Research Questions And Data Analysis. Rather Than Relying On Mathematical Calculations, This Book Focus On Conceptual Explanations And The Use Of Statistical Computing In An Effort To Guide Readers Through The Integration Of Design, Statistical Methodology, And Computation To Answer Specific Research Questions Regarding Group Differences.Utilizing The Widelyused, Freely Accessible R Software, The Authors Introduce A Modern Approach To Promote Methods That Provide A More Complete Understanding Of Statistical Concepts. Following An Introduction To R, Each Chapter Is Driven By A Research Question, And Empirical Data Analysis Is Used To Provide Answers To That Question. These Examples Are Datadriven Inquiries That Promote Interaction Between Statistical Methods And Ideas And Computer Application. Computer Code And Output Are Interwoven In The Book To Illustrate Exactly How Each Analysis Is Carried Out And How Output Is Interpreted. Additional Topical Coverage Includes: Data Exploration Of One Variable And Multivariate Data Comparing Two Groups And Many Groups Permutation Tests, Randomization Tests, And The Independent Samples Ttest Bootstrap Tests And Bootstrap Intervals Interval Estimates And Effect Sizesthroughout The Book, The Authors Incorporate Data From Realworld Research Studies As Well Aschapter Problems That Provide A Platform To Perform Data Analyses. A Related Web Site Features A Complete Collection Of The Book'S Datasets Along With The Accompanying Codebooks And The R Script Files And Commands, Allowing Readers To Reproduce The Presented Output And Plots.Comparing Groups: Randomization And Bootstrap Methods Using R Is An Excellent Book For Upperundergraduate And Graduate Level Courses On Statistical Methods, Particularlyin The Educational And Behavioral Sciences. The Book Also Serves As A Valuable Resource For Researchers Who Need A Practical Guide To Modern Data Analytic And Computational Methods.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.