Introduction to Statistics

<p><strong>BONUS! </strong>Hardcover edition contains a 30-page bonus chapter! <em>Additional Summary Statistics and Methods</em></p><p><br></p><p><strong>Learn statistics without fear! </strong></p><p><br></p><p>Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that you can explain the results to others! I'll help you intuitively understand statistics by using simple language and deemphasizing formulas.</p><p><br></p><p>This guide starts with an overview of statistics and why it is so important. We proceed to essential statistical skills and knowledge about different types of data relationships and distributions. Then we move to using inferential statistics to expand human knowledge how it fits into the scientific method and how to design and critique experiments.</p><p><br></p><p>Learn the fundamentals of statistics:</p><ol><li data-list=bullet><span class=ql-ui contenteditable=false></span>Why is the field of statistics so vital in our data-driven society?</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Interpret graphs and summary statistics.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Find relationships between different types of variables.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Understand the properties of data distributions.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Use measures of central tendency and variability.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Interpret correlations and percentiles.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Use probability distributions to calculate probabilities.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Learn about the normal and binomial distributions in depth.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Grasp the differences between descriptive and inferential statistics.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Use data collection methodologies properly and understand sample size considerations.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Design and critique scientific experiments-whether it's your own or another researcher's.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Free access to downloadable datasets to follow along with the examples.</li></ol>