Topics discussed include descriptive statistics; probability theory; probability distributions, and sampling distribution. The course is also an introduction to estimation and hypothesis testing. Students are required to use a software package, specifically Microsoft Excel.

CILO-1: Analyze and describe a given dataset using descriptive statistics techniques, such as measures of central tendency and measures of variability. CILO-2: Apply probability theory and probability distributions to analyze and interpret real-world data. This includes the ability to identify and calculate the probability of events, such as the probability of a certain outcome occurring in a given situation. CILO-3: Utilize sampling distributions, which involves the concept of taking repeated samples from a population and calculating a statistic for each sample, to make inferences about a population. CILO-4: Use a software package such as Microsoft Excel or Python to perform statistical analysis on real-world data, including data visualization, hypothesis testing, and estimation techniques.