Course Modules in ISMAT3000: Quantitative Methods Lecture

These flashcards cover key vocabulary and concepts related to quantitative methods in data analysis.

Descriptive Statistics

Statistical measures that summarize and organize datasets to support information systems analysis.

Central Tendency

Measure that identifies the central position within a dataset, commonly expressed as mean, median, or mode.

Dispersion

Measures of variability in data, including range, variance, and standard deviation.

Frequency Distribution

A table that organizes raw data into classes and frequencies.

Histogram

A graphical representation of the distribution of numerical data; it uses bars to show the frequency of data points in various ranges.

Outlier

An extremely high or low value in a dataset that differs significantly from other observations.

Mean

The arithmetic average calculated by dividing the sum of values by the number of values.

Median

The middle value in a dataset when the numbers are arranged in order.

Mode

The value that occurs most frequently in a dataset.

Variance

A measure of how much values in a dataset differ from the mean, calculated as the average of the squared differences.

Standard Deviation

The square root of the variance, representing the average distance of each data point from the mean.

Stem and Leaf Plot

A method of organizing data that retains the original values while showing them in a graphical form.

Boxplot

A graphical representation of data that shows the median, quartiles, and potential outliers in a dataset.

Percentiles

Measures that divide a dataset into 100 equal parts, indicating the relative standing of a value within the dataset.

Quartiles

Values that divide a dataset into four groups, with Q1, Q2 (median), and Q3 marking the 25th, 50th, and 75th percentiles, respectively.

Deciles

Values that divide a dataset into ten equal parts, corresponding to the 10th, 20th, …, up to the 90th percentiles.