#### Overview of this book

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.
Preface
Free Chapter
Getting Started with Data Science and R
Descriptive and Inferential Statistics
Data Wrangling with R
KDD, Data Mining, and Text Mining
Data Analysis with R
Machine Learning with R
Forecasting and ML App with R
Neural Networks and Deep Learning
Markovian in R
Visualizing Data
Going to Production with R
Large Scale Data Analytics with Hadoop
R on Cloud
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# Quiz

1. Which of these tests assume that the standard deviation is unknown?
• The great macaroni test
• The z-test
• The t-test
• Every A/B test
2. Which of the following functions will give the probability of getting values equal or greater than one from a standardized normal distribution?
• qnorm(1, lower.tail = F)
• pnorm(1, lower.tail = F)
• pnorm(1)
• t.test(1, alternative = 'less')
3. Select the false statement:
• A/B tests can be used to compare website versions
• A/B tests can be only used by the web industry
• Mean is a measure of central tendency
• Z-tests assume that the standard deviation is known

Answersexecuting the following code will give you the answers to the quiz questions:

`set.seed(10)round(runif(3,1,4))`