- ISBN
- Autor(es)
- Idioma
- Editorial
- Edición
- Edición
Learning Statistics with R Resúmenes
Navarro, Daniel - ISBN: 9781326189723
- ISBN
- Autor(es)
- Idioma
- Editorial
- Edición
- Edición
Ver todos los 7 resúmenes de Learning Statistics with R, escritos por Navarro, Daniel. Los resúmenes de Learning Statistics with R en Stuvia están escritos por estudiantes o profesores, lo que facilita y acelera la comprensión del contenido del libro de texto. Encontrar el resumen que se adapte perfectamente a tu estilo de aprendizaje hará que estudiar sea mucho más fácil.
Resúmenes más vendidos 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).
- Resumen
- • 43 páginas •
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...
- Resumen
- • 11 páginas •
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
- Notas de lectura
- • 27 páginas •
lecture notes
The summary of all the covered chapters of the course
- Resumen
- • 56 páginas •
The summary of all the covered chapters of the course
MATH 225N Week 5 Lab Assignment
- Examen
- • 6 páginas •
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.
- Resumen
- • 6 páginas •
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.
- Resumen
- • 85 páginas •
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.
¿Tienes documentos que coincidan con este libro? ¡Véndelos y gana dinero con tu conocimiento!
Resúmenes más recientes 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).
- Resumen
- • 43 páginas •
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...
- Resumen
- • 11 páginas •
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
- Notas de lectura
- • 27 páginas •
lecture notes
The summary of all the covered chapters of the course
- Resumen
- • 56 páginas •
The summary of all the covered chapters of the course
MATH 225N Week 5 Lab Assignment
- Examen
- • 6 páginas •
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.
- Resumen
- • 6 páginas •
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.
- Resumen
- • 85 páginas •
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.
¿Tienes documentos que coincidan con este libro? ¡Véndelos y gana dinero con tu conocimiento!
¿Por qué estudiar con los resúmenes de libros sobre Stuvia?
Relevancia, eficiencia y conveniencia. Estos son elementos importantes al estudiar o prepararse para un curso o examen. Estudiar con la ayuda de resúmenes de libros, que están vinculados al número ISBN de su libro (de estudio), es más relevante que nunca. Tus compañeros de estudios o tutores comparten sus conocimientos contigo para ayudarte a prepararte para tus exámenes. Encuentre el número ISBN de su libro y asegúrese de comprar el resumen correcto. De esa manera, no se enfrentará a sorpresas durante sus exámenes.
Todos los resúmenes de Stuvia están escritos por estudiantes que ya han realizado el examen, profesores que enseñan el material de estudio o editores profesionales. Como resultado, puede estar seguro de que comprenderá el material del curso más fácilmente y de que el resumen contiene todos los elementos que se prueban en el examen. Encuentra el libro que necesitas estudiar por su ISBN y elige el mejor resumen de libro de texto.