Minitab: Applied Statistics and Hypothesis Testing

Making data-driven decisions requires a solid understanding of statistical methods, but navigating complex software can be a challenge. This course will equip you with the foundational knowledge and practical skills to confidently perform applied statistical analysis and hypothesis testing using Minitab, enabling you to interpret data and make informed choices. You will learn to: * Understand core statistical concepts, data types, and their appropriate applications. * Navigate the Minitab interface for efficient data entry, management, and basic manipulation. * Apply descriptive statistics and conduct exploratory data analysis using Minitab's visualization tools. * Formulate hypotheses and execute various hypothesis tests, including t-tests, ANOVA, and chi-square tests. * Interpret p-values, confidence intervals, and statistical output accurately to draw meaningful conclusions. * Perform basic regression analysis to model relationships between variables and predict outcomes. * Communicate statistical findings clearly and effectively for decision-making. You'll begin by building a strong theoretical foundation in statistics, then transition to hands-on application within Minitab, covering everything from data preparation to advanced hypothesis testing and result interpretation. This course is designed for absolute beginners in statistics and Minitab, with no prior statistical knowledge or software experience required. Start your journey to becoming proficient in statistical data analysis today.