Shape Morphing and Size Transformation Flashcards
6 cards from real Raven's Progressive Matrices Test practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Shape Morphing and Size Transformation flashcards as text
A matrix shows increasing outline thickness per column: thin in column 1, medium in column 2, and thick in column 3. The missing cell is in column 3, row 2. What thickness does it show?
Answer: Thick
Column 3 consistently displays thick outlines throughout the matrix, as thickness is determined by column.
Each row shows a different shape transformation: row 1 morphs circles into squares, row 2 morphs triangles into circles, and row 3 morphs squares into triangles. What does the missing cell in row 3, column 3 show?
Answer: Triangle
Row 3's transformation ends with triangles, so the final column 3 cell shows a triangle.
A matrix's shapes gain one side per row: triangles (3 sides) in row 1, squares (4 sides) in row 2, and pentagons (5 sides) in row 3. The missing cell is in row 3, column 2. What shape appears?
Answer: Pentagon
Row 3 contains pentagons in all columns, as the row is entirely defined by 5-sided shapes.
In a matrix, shapes grow taller by 50% per row while keeping the same width: short in row 1, medium-tall in row 2, and ___ in row 3?
Answer: Very tall
Applying two 50% height increments from row 1 makes row 3 the very tall stage of the sequence.
A matrix shows one shape in column 1, two overlapping shapes in column 2, and three overlapping shapes in column 3. The missing cell is in column 3, row 2. How many shapes appear?
Answer: Three
Column 3 always shows three overlapping shapes regardless of the row, as count is determined by column.
A matrix shows a circle morphing across columns: filled circle in column 1, circle with a center hole in column 2, and ring only (hollow circle) in column 3. The missing cell is in column 3, row 3. What does it show?
Answer: Ring only
Column 3 always displays the final morph stage — a ring only — throughout the matrix.
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