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Best selling Learning Statistics with R notes
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Summary Statistics for Premasters DSS
- Summary • 43 pages • 2022 Popular
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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).
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Statistics for CSAI 1
- Class notes • 27 pages • 2021 Popular
- Available in package deal
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- $7.80
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Summary of Statistics for Pre-master DSS
- Summary • 56 pages • 2022 Popular
- Available in package deal
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The summary of all the covered chapters of the course
Do you also write study notes yourself? Put them up for sale and earn every time your document is purchased.
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MATH 225N Week 5 Lab Assignment
- Exam (elaborations) • 6 pages • 2021 Popular
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MATH 225N Week 5 Lab Assignment
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Summary Learning Statistics with R - Statistics 1 with R code examples
- Summary • 85 pages • 2023 Popular
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- $11.71
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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.
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Learning Statistics with R Chapter 10 (summary)
- Summary • 6 pages • 2023 Popular
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- $6.13
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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.
Newest Learning Statistics with R summaries
-
Summary Statistics for Premasters DSS
- Summary • 43 pages • 2022 New
- Available in package deal
-
- $7.24
- 13x sold
- + learn more
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).
-
Summary of Statistics for Pre-master DSS
- Summary • 56 pages • 2022 New
- Available in package deal
-
- $7.24
- 2x sold
- + learn more
The summary of all the covered chapters of the course
-
Pre Master Data Science and Society: Statistics Summary + Methodology Summary
- Package deal • 2 items • 2022 New
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- $11.71
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Both summaries of the courses "Statistics for Premasters DSS, 800878-B-6" and "Methodology for Premasters DSS, 800884-B-6" which are part of the Pre-Master Data Science and Society at Tilburg University.
Do you also write study notes yourself? Put them up for sale and earn every time your document is purchased.
-
Statistics for CSAI 1
- Class notes • 27 pages • 2021 New
- Available in package deal
-
- $7.80
- 4x sold
- + learn more
-
MATH 225N Week 5 Lab Assignment
- Exam (elaborations) • 6 pages • 2021 New
-
- $8.49
- 1x sold
- + learn more
MATH 225N Week 5 Lab Assignment
-
Summary Learning Statistics with R - Statistics 1 with R code examples
- Summary • 85 pages • 2023 New
-
- $11.71
- + learn more
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.
-
DSS package
- Package deal • 3 items • 2022 New
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- $11.71
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Courses: Methodology, Statistics and MAS
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Learning Statistics with R Chapter 10 (summary)
- Summary • 6 pages • 2023 New
-
- $6.13
- + learn more
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.
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Summary Statistics for programming with R based on study guide
- Summary • 11 pages • 2018 New
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- $5.85
- 5x sold
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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...