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Basic statistics with R = reaching decisions with data /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Basic statistics with R/ Stephen C. Loftus.
Reminder of title:
reaching decisions with data /
Author:
Loftus, Stephen C.
Published:
Amsterdam :Academic Press, : 2022.,
Description:
1 online resource :ill. (some col.) :
Subject:
Statistics - Data processing. -
Online resource:
https://www.sciencedirect.com/science/book/9780128207888
ISBN:
9780128209264 (electronic bk.)
Basic statistics with R = reaching decisions with data /
Loftus, Stephen C.
Basic statistics with R
reaching decisions with data /[electronic resource] :Stephen C. Loftus. - Amsterdam :Academic Press,2022. - 1 online resource :ill. (some col.)
Includes bibliographical references and index.
1. Statistics: What is it and Why is it Important? 2. An Introduction to R 3. Data Collection: Methods and Concerns 4. R Tutorial: Subsetting Data 5. Exploratory Data Analyses (EDA) 6. Libraries, Loading Data, and EDA in R 7. An Incredibly Brief Introduction to Probability 8. Sampling Distributions, or Why EDA is not Enough 9. The Idea of Hypothesis Testing 10. Hypothesis Testing with the Central Limit Theorem 11. Introduction to Confidence Intervals 12. One Sample Hypothesis Tests 13. Confidence Intervals for a Single Parameter 14. Two Sample Hypothesis Tests 15. Confidence Intervals for Two Parameters 16. Hypothesis Testing and Confidence Intervals in R 17. Statistics: The World Beyond This Book.
ISBN: 9780128209264 (electronic bk.)
Nat. Bib. No.: GBC126802bnbSubjects--Topical Terms:
672142
Statistics
--Data processing.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA276.45.R3 / L64 2022
Dewey Class. No.: 519.502855362
Basic statistics with R = reaching decisions with data /
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[electronic resource] :
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reaching decisions with data /
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Stephen C. Loftus.
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Academic Press,
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Includes bibliographical references and index.
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1. Statistics: What is it and Why is it Important? 2. An Introduction to R 3. Data Collection: Methods and Concerns 4. R Tutorial: Subsetting Data 5. Exploratory Data Analyses (EDA) 6. Libraries, Loading Data, and EDA in R 7. An Incredibly Brief Introduction to Probability 8. Sampling Distributions, or Why EDA is not Enough 9. The Idea of Hypothesis Testing 10. Hypothesis Testing with the Central Limit Theorem 11. Introduction to Confidence Intervals 12. One Sample Hypothesis Tests 13. Confidence Intervals for a Single Parameter 14. Two Sample Hypothesis Tests 15. Confidence Intervals for Two Parameters 16. Hypothesis Testing and Confidence Intervals in R 17. Statistics: The World Beyond This Book.
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https://www.sciencedirect.com/science/book/9780128207888
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