A1.35.c

Identify possible associations and trends in categorical data.

Example Problems
Three office buildings surveyed a random sample of employees about their recycling habits. Here are the results:

BuildingAlwaysSometimesNeverTotal
Building A50201080
Building B40301080
Building C30251570
Total1207535230


They want to perform a
χ² test of homogeneity on these results.

What is the
expected count for the cell corresponding to Building B employees who never recycle?
Round your answer to the
nearest hundredth.
Kira surveyed three neighborhoods about pet ownership. Each neighborhood provided a random sample of households. Here are the results:

NeighborhoodDogCatNeitherTotal
Neighborhood A35221370
Neighborhood B28301270
Neighborhood C24181860
Total877043200


They want to perform a
χ² test of homogeneity on these results.

What is the
expected count for the cell corresponding to households in Neighborhood C that own a cat?
Librarians at three branches randomly sampled patrons and asked which types of books they had read in the past month. Here are the results:

Library branchFictionNonfictionBothTotal
North branch40251580
East branch30201060
South branch35301580
Total1057540220


They want to perform a
χ² test of homogeneity on these results.

What is the
expected count for the cell corresponding to East branch patrons who read Fiction?
Round your answer to the nearest hundredth.
Goblins

1-on-1 AI tutoring aligned to A1.35.c. Instant help for students, real-time insights for teachers.

Used in classrooms by 100,000+ students at Baltimore County, Plano ISD, Deer Valley USD, KIPP, and districts nationwide.

Free for teachers, forever →