Statistical Analysis and Interpretation

What Will You Learn?

• Understand and apply descriptive statistics to summarize and describe data sets effectively.
• Gain knowledge of inferential statistics to make predictions and generalize findings from samples to populations.
• Master the principles and steps of hypothesis testing, including formulating null and alternative hypotheses.
• Learn to conduct common statistical tests such as t-tests, chi-square tests, and ANOVA.
• Interpret statistical outputs from software tools and differentiate between statistical and practical significance.
• Recognize and avoid common misinterpretations and biases in data analysis.
• Communicate statistical findings clearly and effectively to diverse stakeholders.