Statistics: center and spread

High School Math 1 · Unit 17 · descriptive-stats-spread · Teacher edition

descriptive-stats-spread
Name ______________________________Date ______________
  1. 1.

    Find the mean of 4, 7, 7, 10, 124,\ 7,\ 7,\ 10,\ 12.

    Answer: ______________

  2. 2.

    Find the population standard deviation σ\sigma of 5, 7, 8, 9, 115,\ 7,\ 8,\ 9,\ 11.

    Answer: ______________

  3. 3.

    Eight runners' times, in minutes: 14, 15, 16, 18, 20, 21, 22, 4014,\ 15,\ 16,\ 18,\ 20,\ 21,\ 22,\ 40. Using the 1.5×IQR1.5 \times IQR rule, what is the upper fence (the value above which a time counts as an outlier)?

    Answer: ______________

  4. 4.

    Six quiz scores are 7, 9, 9, 10, 12, 137,\ 9,\ 9,\ 10,\ 12,\ 13. Their mean is 1010. What is the population standard deviation σ\sigma?

    1. (A)

      22

    2. (B)

      44

    3. (C)

      24\sqrt{24}

    4. (D)

      2424

  5. 5.

    A data set has mean 4040 and standard deviation 55. Every value in the set is doubled. What are the mean and standard deviation of the new data set?

    1. (A)

      mean 8080, standard deviation 55

    2. (B)

      mean 4040, standard deviation 1010

    3. (C)

      mean 8080, standard deviation 2020

    4. (D)

      mean 8080, standard deviation 1010

Answer key — Statistics: center and spread

  1. 1.
    8descriptive-stats-spread-01

    xˉ=4+7+7+10+125=405=8\bar x = \dfrac{4 + 7 + 7 + 10 + 12}{5} = \dfrac{40}{5} = \mathbf{8}.

  2. 2.
    2descriptive-stats-spread-02

    Mean 88. Squared deviations sum to 9+1+0+1+9=209 + 1 + 0 + 1 + 9 = 20. Variance =205=4= \frac{20}{5} = 4, so σ=4=2\sigma = \sqrt{4} = \mathbf{2}.

  3. 3.
    30.5descriptive-stats-spread-03

    Q1=15.5Q_1 = 15.5, Q3=21.5Q_3 = 21.5, IQR=6IQR = 6. Upper fence =21.5+1.5(6)=21.5+9=30.5= 21.5 + 1.5(6) = 21.5 + 9 = \mathbf{30.5} minutes. The 4040-minute time is above the fence, so it is an outlier.

  4. 4.
    (A)

    22

    descriptive-stats-spread-04

    (xixˉ)2=24\sum (x_i - \bar x)^2 = 24; variance =246=4= \frac{24}{6} = 4; σ=4=2\sigma = \sqrt{4} = \mathbf{2}. (44 is the variance — the square root was skipped; 2424 is the sum of squares; 24\sqrt{24} skips the division by nn.)

  5. 5.
    (D)

    mean 8080, standard deviation 1010

    descriptive-stats-spread-05

    New mean =240=80= 2 \cdot 40 = 80; new standard deviation =25=10= 2 \cdot 5 = 10. Answer: mean 80, standard deviation 10. (“SD stays 55” is the rule for adding a constant; SD 2020 applies the factor 44 that belongs to the variance.)