SSSP3

Statistics III — Advanced Grouped Data

Construct and interpret histograms and ogives; read quartiles, percentiles, and deciles from cumulative frequency graphs.

Extended Grouped Frequency Distributions — The Generalised Boundary Rule and Five-Column Tables for Complex Data

Histograms at SS2 Level — Complex Data, Modal Bar, and Diagonal Mode EstimationComplete the earlier lesson to unlock

Class Mark Method and Working Mean Method — WAEC-Level PrecisionComplete the earlier lesson to unlock

Unit review reward

All 3 lessons in Statistics III — Advanced Grouped Data

1. Extended Grouped Frequency Distributions — The Generalised Boundary Rule and Five-Column Tables for Complex Data

Apply the generalised boundary rule (adjust by half the unit of measurement) to construct class boundaries for any measured data, build a complete five-column table for large and decimal datasets, and identify the modal class, verify Σf = n, and state the ogive anchor point.

2. Histograms at SS2 Level — Complex Data, Modal Bar, and Diagonal Mode Estimation

Draw a histogram for a complex distribution with class boundaries on the x-axis and touching bars, identify the modal class and apply the diagonal intersection method to estimate the mode, and extract frequency totals to compute probabilities and percentages from a histogram.

3. Class Mark Method and Working Mean Method — WAEC-Level Precision

Compute the grouped mean by the class mark method (Mean = Σfxm/Σf) in a four-column table, apply the working-mean (assumed-mean) method (Mean = A + ΣFd/Σf) for any A including a decimal A, and recognise the WAEC phrase 'using a working mean of ___' as the instruction to set up the d = xm − A column.

Unit code SSSP3