- ISBN
- Auteur(s)
- Langue
- Éditeur
- Édition
- Édition
Learning Statistics with R résumés
Navarro, Daniel - ISBN: 9781326189723
- ISBN
- Auteur(s)
- Langue
- Éditeur
- Édition
- Édition
Afficher tous les 7 résumés de Learning Statistics with R, écrits par Navarro, Daniel. Les résumés de Learning Statistics with R sur Stuvia sont écrits par des étudiants ou des enseignants, ce qui facilite et accélère la compréhension du contenu du manuel. Trouver le résumé qui correspond parfaitement à votre style d'apprentissage rendra l'étude beaucoup plus facile.
Résumés les plus vendus pour Learning Statistics with R
Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).
- Resume
- • 43 pages •
Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).
For the fall midterm of Statistics for CSAI I, this is based on the study guide that was provided by Dr. T. J. Wiltshire. It contains applications of basic R principles, basic statistics (measures of dispersion), how to plot through R and GGplot.

Study guide:
Types of validity

Measurement scales

Null vs alternative hypotheses

Creating variable names in R 

Using a working directory and loading data in R

Logical and arithmetic operators in R

Vector operations

Data frame and matrix operatio...
- Resume
- • 11 pages •
For the fall midterm of Statistics for CSAI I, this is based on the study guide that was provided by Dr. T. J. Wiltshire. It contains applications of basic R principles, basic statistics (measures of dispersion), how to plot through R and GGplot.

Study guide:
Types of validity

Measurement scales

Null vs alternative hypotheses

Creating variable names in R 

Using a working directory and loading data in R

Logical and arithmetic operators in R

Vector operations

Data frame and matrix operatio...
lecture notes
- Notes de cours
- • 27 pages •
lecture notes
The summary of all the covered chapters of the course
- Resume
- • 56 pages •
The summary of all the covered chapters of the course
MATH 225N Week 5 Lab Assignment
- Examen
- • 6 pages •
MATH 225N Week 5 Lab Assignment
Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampling distributions and the Central Limit Theorem. Lastly, the chapter addresses the estimation of population parameters, such as the mean and standard deviation, using sample statistics.
- Resume
- • 6 pages •
Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampling distributions and the Central Limit Theorem. Lastly, the chapter addresses the estimation of population parameters, such as the mean and standard deviation, using sample statistics.
A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics 
with R.
- Resume
- • 85 pages •
A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics 
with R.
Avez-vous des documents qui correspondent à ce livre ? Vendez-les et gagnez de l'argent avec vos connaissances !
Derniers résumés de Learning Statistics with R
Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).
- Resume
- • 43 pages •
Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).
For the fall midterm of Statistics for CSAI I, this is based on the study guide that was provided by Dr. T. J. Wiltshire. It contains applications of basic R principles, basic statistics (measures of dispersion), how to plot through R and GGplot.

Study guide:
Types of validity

Measurement scales

Null vs alternative hypotheses

Creating variable names in R 

Using a working directory and loading data in R

Logical and arithmetic operators in R

Vector operations

Data frame and matrix operatio...
- Resume
- • 11 pages •
For the fall midterm of Statistics for CSAI I, this is based on the study guide that was provided by Dr. T. J. Wiltshire. It contains applications of basic R principles, basic statistics (measures of dispersion), how to plot through R and GGplot.

Study guide:
Types of validity

Measurement scales

Null vs alternative hypotheses

Creating variable names in R 

Using a working directory and loading data in R

Logical and arithmetic operators in R

Vector operations

Data frame and matrix operatio...
lecture notes
- Notes de cours
- • 27 pages •
lecture notes
The summary of all the covered chapters of the course
- Resume
- • 56 pages •
The summary of all the covered chapters of the course
MATH 225N Week 5 Lab Assignment
- Examen
- • 6 pages •
MATH 225N Week 5 Lab Assignment
Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampling distributions and the Central Limit Theorem. Lastly, the chapter addresses the estimation of population parameters, such as the mean and standard deviation, using sample statistics.
- Resume
- • 6 pages •
Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampling distributions and the Central Limit Theorem. Lastly, the chapter addresses the estimation of population parameters, such as the mean and standard deviation, using sample statistics.
A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics 
with R.
- Resume
- • 85 pages •
A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics 
with R.
Avez-vous des documents qui correspondent à ce livre ? Vendez-les et gagnez de l'argent avec vos connaissances !
Pourquoi étudier avec les résumés de livres sur Stuvia ?
Pertinence, efficacité et commodité. Ce sont des éléments importants lors de l'étude ou de la préparation d'un cours ou d'un examen. Étudier à l'aide de résumés de livres, qui sont liés au numéro ISBN de votre livre (d'étude), est plus pertinent que jamais. Vos camarades étudiants ou tuteurs partagent leurs connaissances avec vous pour vous aider à préparer vos examens. Trouvez le numéro ISBN de votre livre et vous serez sûr d'acheter le bon résumé. Ainsi, vous n'aurez pas de surprises lors de vos examens.
Tous les résumés sur Stuvia sont rédigés par des étudiants qui ont déjà passé l'examen, des professeurs qui enseignent le matériel d'étude ou des éditeurs professionnels. En conséquence, vous pouvez être sûr que vous comprendrez plus facilement le matériel du cours et que le résumé contient tous les éléments testés dans l'examen. Trouvez le livre dont vous avez besoin pour étudier par son ISBN et choisissez le meilleur résumé de manuel.