Module3-Statistical Reasoning for Everyday Life

Statistical Literacy

Using mathematical methods to understand numerical information (data).

Descriptive Statistics

Using statistical methods to provide a simple summary of data.

Measures of Central Tendency

Statistical measures that describe the center of a dataset.

Mode

The most frequent data point in a dataset.

Median

The value that divides ranked data points into halves.

Mean

The average of a set of data points, calculated by summing values and dividing by their count.

Range

The difference between the highest and lowest values in a dataset.

Standard Deviation

A measure of variation that indicates how much individual data points differ from the mean.

Normal Curve

A bell-shaped curve that represents the distribution of a variable in a statistical population.

Inferential Statistics

Using statistical methods to interpret data meaningfully.

Statistical Significance

A statistical statement about how likely it is that a result occurred by chance.

Qualitative Data

Data that describes qualities or characteristics and is non-numerical.

Quantitative Data

Data that can be measured and expressed numerically.

Extreme Values

Outliers in a dataset that can significantly affect the mean.

Population vs. Sample

A population is the entire group being studied, while a sample is a subset of that group.