Worksheet Grade 11 Math

Harmon Ridge vs. Cutler Bend: Comparing Chlorine Residual Consistency

A grade 11 worksheet where students calculate the mean and standard deviation of two fictional treatment plants' chlorine residual data to compare consistency.

Objectives

  1. Students will calculate the mean and standard deviation of a data set of chlorine residual readings.
  2. Students will compare the center and spread of two data sets to judge which shows more consistent operation.

Vocabulary

Key words: mean, standard deviation, spread, disinfectant residual

Teacher overview

Harmon Ridge and Cutler Bend (two fictional water treatment plants used for this worksheet) both report a mean chlorine residual of 1.0 mg/L across eight days of testing, yet their daily readings vary by very different amounts. A common misconception is that two data sets with the same average are equally consistent; this worksheet asks students to calculate the standard deviation of each plant's readings to show that center alone does not describe a data set. Utilities must keep enough chlorine residual to protect water as it travels through the distribution system while staying below the maximum residual disinfectant level, so a plant that swings widely around its average carries more operational risk than one that holds steady.

Answer Key

  1. Answer: 1.0 mg/L.
    Sum of Harmon Ridge's readings (1.0 + 1.1 + 0.9 + 1.0 + 1.2 + 0.8 + 1.0 + 1.0) = 8.0; 8.0 ÷ 8 = 1.0 mg/L.

  2. Answer: 1.0 mg/L.
    Sum of Cutler Bend's readings (0.4 + 1.6 + 0.3 + 1.7 + 0.5 + 1.5 + 0.4 + 1.6) = 8.0; 8.0 ÷ 8 = 1.0 mg/L.

  3. Answer: Both plants dose to the same average target.
    The identical means show both plants center their dosing at the same target, but a mean says nothing about how far individual days stray from that target, so it cannot tell us which plant is more reliable day to day.

  4. Answer: 0.11 mg/L.
    Deviations from 1.0: 0, 0.1, -0.1, 0, 0.2, -0.2, 0, 0. Squared deviations: 0, 0.01, 0.01, 0, 0.04, 0.04, 0, 0, which sum to 0.10. Variance = 0.10 ÷ 8 = 0.0125. Standard deviation = the square root of 0.0125 ≈ 0.11 mg/L.

  5. Answer: 0.60 mg/L.
    Deviations from 1.0: -0.6, 0.6, -0.7, 0.7, -0.5, 0.5, -0.6, 0.6. Squared deviations: 0.36, 0.36, 0.49, 0.49, 0.25, 0.25, 0.36, 0.36, which sum to 2.92. Variance = 2.92 ÷ 8 = 0.365. Standard deviation = the square root of 0.365 ≈ 0.60 mg/L.

  6. Answer: Harmon Ridge.
    Harmon Ridge's standard deviation (0.11 mg/L) is much smaller than Cutler Bend's (0.60 mg/L), meaning Harmon Ridge's daily readings cluster far more tightly around its mean.

  7. Answer: No.
    Cutler Bend's highest single reading is 1.7 mg/L, which stays well below the 4.0 mg/L maximum residual disinfectant level.

  8. Answer: Harmon Ridge yes, Cutler Bend no.
    Harmon Ridge's standard deviation (0.11 mg/L) is below 0.5 mg/L, so it meets the guideline. Cutler Bend's standard deviation (0.60 mg/L) exceeds 0.5 mg/L, so it does not.

  9. Answer: Answers will vary.
    A plant might see wider swings because of variable flow through the day, sensor lag between dose changes and readings, or an operator adjusting the feed less frequently than conditions change.

  10. Answer: Dellwood, then Harmon Ridge, then Cutler Bend.
    Dellwood's standard deviation (0.05 mg/L) is the smallest, followed by Harmon Ridge's (0.11 mg/L), with Cutler Bend's (0.60 mg/L) the largest, so that is the order from most to least consistent.

Differentiation

Support (below grade level)

Provide a partially completed table with the deviation column already filled in for Harmon Ridge, so students only need to square the values, sum them, divide, and take the square root. Allow a calculator with a square-root key for every item.

Extension (above grade level)

Ask students to calculate what the fictional Cutler Bend plant's standard deviation would become if its highest reading (1.7 mg/L) were corrected to 1.0 mg/L as a data-entry fix, and to compare how much the correction changed the mean and the standard deviation.

ELL supports

Pre-teach "mean," "deviation," and "consistent" with a simple visual: two dot plots on a number line, one tightly clustered and one spread out, both centered on the same point. Allow students to write numeric answers and short phrases rather than full sentences for items 3 and 9.