SPSS Statistics: Inferential Data Analysis for Decision Making

Understanding data is essential for making smart business decisions, yet raw numbers mean very little without the right statistical tools. Inferential statistics allow you to look beyond your sample data to draw reliable conclusions about your target audience or market. This course guides you through the core concepts of inferential statistics using SPSS. You will learn how to set up datasets, perform essential significance tests, and interpret results to drive product improvements, A/B testing, and strategic planning. By focusing on practical application, you will gain the skills needed to transform raw data into clear, actionable insights. What you'll learn: - Understand the foundational principles of hypothesis testing, p-values, and confidence intervals. - Manage and prepare your datasets in SPSS for accurate statistical analysis. - Perform t-tests, ANOVA, and chi-square tests to compare groups and assess A/B test results. - Analyze relationships between variables using correlation and linear regression models. - Interpret SPSS outputs correctly to extract actionable business insights and report effect sizes. The course begins with fundamental statistical concepts and SPSS data management basics. You will then progress through step-by-step written explanations and practical scenarios covering a wide range of significance tests. This course is designed for beginners, business professionals, and students who want to build a practical foundation in statistical analysis using SPSS without any prior advanced mathematics background. Start reading today to unlock the power of data-driven decision-making.