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Statistics: An Introduction Using R
Price: $57.26
(as of Jan 19,2025 02:03:41 UTC – Details)
Publisher : John Wiley & Sons Inc; 1st edition (April 22, 2005)
Language : English
Paperback : 327 pages
ISBN-10 : 0470022981
ISBN-13 : 978-0470022986
Item Weight : 1.4 pounds
Dimensions : 6.5 x 1 x 9.5 inches
Customers say
Customers find the book provides a clear review of courses in descriptive statistics, regression, ANOVA, and ANCOVA. They say it’s an excellent refresher on basic statistics and R. Many consider it the best book in statistics they have read. However, some readers feel some of the best R examples were not provided, as R is both open source and free.
AI-generated from the text of customer reviews
Introduction to Statistics Using R
Statistics is a fundamental discipline that involves collecting, analyzing, interpreting, and presenting data. It helps us make informed decisions and draw meaningful conclusions from various datasets. In this post, we will introduce you to the basics of statistics using the programming language R.
R is a powerful tool for statistical analysis and data visualization. It provides a wide range of functions and packages that make it easy to perform complex statistical calculations. Whether you are a beginner or an experienced statistician, R can help you with your data analysis needs.
In this post, we will cover the following topics:
1. Introduction to R: We will provide an overview of the R programming language and its capabilities for statistical analysis.
2. Basic Statistics: We will discuss the basic statistical measures such as mean, median, mode, standard deviation, and variance.
3. Data Visualization: We will explore various ways to visualize data using R, including histograms, box plots, and scatter plots.
4. Hypothesis Testing: We will introduce the concept of hypothesis testing and show you how to perform hypothesis tests using R.
5. Linear Regression: We will explain the concept of linear regression and demonstrate how to fit a linear regression model using R.
By the end of this post, you will have a basic understanding of statistics and how to use R for data analysis. Stay tuned for more in-depth tutorials on specific statistical techniques and advanced R programming concepts.
#Statistics #Introduction,machine learning: an applied mathematics introduction
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