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Statistics: Center, Spread and Data Displays: Algebra 1 Math Worksheet Answer Key – PDF Download

    This algebra 1 statistics worksheet answer key solves all 24 problems of the statistics: center, spread and data displays worksheet step by step.

    Each solution shows the ordered data, the quartiles and the arithmetic. Quartiles use the median of each half, leaving out the overall median when the count is odd. Compare your displays with the figures and recompute any answer that differs.

    Algebra 1Common Core: S-ID.A.1 · S-ID.A.2 · S-ID.A.3

    Algebra 1 Statistics Worksheet Answer Key: problems 1–5

    Problem 1: Read a dot plot

    (a) Add the dots: \(3+5+6+3+2+1=20\). 20 households

    (b) The tallest stack is at 2 pets. Mode: 2

    (c) \(3+2+1=6\). 6 households

    (d) \(5-0=5\). Range: 5

    Problem 2: Find the mean

    (a) Sum \(=8+9+7+10+6+9+8+7=64\). Mean \(=64: 8=8\). 8

    (b) Sum \(=12+15+9+20+14=70\). Mean \(=70: 5=14\). \(\$14\)

    Problem 3: Find the median

    (a) Order: 9, 12, 14, 17, 21. The middle value is 14.

    (b) Order: 22, 25, 28, 30, 31, 35. The two middle values are 28 and 30, so the median is \(\frac{28+30}{2}=29\). 29

    Problem 4: Quartiles and IQR

    Order: 6, 7, 8, 9, 10, 11, 12, 13, 14, 15. The median is \(\frac{10+11}{2}=10.5\).

    Lower half 6, 7, 8, 9, 10: \(Q_1=8\). Upper half 11, 12, 13, 14, 15: \(Q_3=13\).

    \(\text{IQR}=13-8=5\). Median 10.5, \(Q_1=8\), \(Q_3=13\), IQR 5

    Problem 5: Five-number summary

    Order: 22, 25, 26, 28, 29, 30, 31, 33, 35, 38, 40. The median is the 6th value, 30. With an odd count, leave it out.

    Lower half 22, 25, 26, 28, 29: \(Q_1=26\). Upper half 31, 33, 35, 38, 40: \(Q_3=35\).

    Five-number summary: 22, 26, 30, 35, 40. Range \(=40-22=18\). IQR \(=35-26=9\).

    Algebra 1 Statistics Worksheet Answer Key: problems 6–10

    Problem 6: Draw a box plot

    Mark 12, 18, 23, 30 and 41 on the number line. Draw a box from 18 to 30 with a line at 23, then whiskers to 12 and to 41.

    10152025303540451218233041Value
    The box plot for the summary 12, 18, 23, 30, 41.

    Range \(=41-12=29\). IQR \(=30-18=12\). Range 29, IQR 12

    Problem 7: Read a box plot

    Reading the plot: minimum 5, \(Q_1=15\), median 20, \(Q_3=30\), maximum 45.

    Range \(=45-5=40\). IQR \(=30-15=15\).

    One quarter of the data lies above \(Q_3\), so 25% practiced more than 30 minutes.

    Problem 8: Read a histogram

    (a) \(3+7+9+5+1=25\). 25 students

    (b) \(7+9=16\). 16 students

    (c) The median is the 13th value. The first two bars hold \(3+7=10\) values and the third bar brings the total to 19, so the 13th value is in 20 to 30.

    (d) No. The histogram shows how many values fall in each interval, not the exact values, so only an estimate is possible.

    Problem 9: Build a histogram

    Count the values in each interval:

    Interval 0-10 10-20 20-30 30-40 40-50
    Frequency 2 4 6 3 1

    The total is \(2+4+6+3+1=16\), which matches the data. Draw touching bars with these heights.

    012345672463101020304050Minutes of waitingPatients
    Waiting times at a clinic grouped in 10-minute intervals.

    Problem 10: Mean from a frequency table

    Total goals \(=0(4)+1(6)+2(5)+3(3)+4(2)=0+6+10+9+8=33\). Mean \(=33: 20=1.65\).

    For the median, use the 10th and 11th values. The first 4 games had 0 goals and the next 6 games had 1 goal, so the 10th value is 1 and the 11th value is 2. Median \(=\frac{1+2}{2}=1.5\). Mean 1.65, median 1.5

    Algebra 1 Statistics Worksheet Answer Key: problems 11–15

    Problem 11: Standard deviation by hand

    Mean \(=\frac{2+3+3+3+5+8}{6}=\frac{24}{6}=4\).

    Score 2 3 3 3 5 8
    Minus 4 \(-2\) \(-1\) \(-1\) \(-1\) 1 4
    Squared 4 1 1 1 1 16

    Sum of squares \(=4+1+1+1+1+16=24\). Average \(=24: 6=4\). SD \(=\sqrt{4}=2\). Mean 4, SD 2 points

    Problem 12: Compare spread visually

    Data set B is more spread out, so B has the larger SD.

    A: squared differences \(1,1,0,0,0,0,1,1\) add to 4; \(4: 8=0.5\); SD \(=\sqrt{0.5}\approx 0.71\).

    B: squared differences \(16,4,1,0,0,1,4,16\) add to 42; \(42: 8=5.25\); SD \(=\sqrt{5.25}\approx 2.29\).

    \(0.71\) and \(2.29\)

    Problem 13: Interpret standard deviation

    Route 1 has the smaller SD, so its delays stay close to 6 minutes: Route 1 is more predictable.

    A 15-minute delay is 9 minutes above the mean. That is 9 standard deviations on Route 1 but only 1.8 standard deviations on Route 2 (\(9: 5=1.8\)). So it would be more surprising on Route 1.

    Problem 14: Compare box plots

    Medians: Section A 75, Section B 70, so Section A is higher by 5 points.

    IQR: Section A \(84-68=16\), Section B \(80-60=20\). Range: A \(96-55=41\), B \(100-40=60\).

    Section A scored higher at the center and was more consistent, with a smaller IQR and range.

    Problem 15: Test for outliers

    The median is \(\frac{16+17}{2}=16.5\). Lower half 12, 14, 15, 15, 16: \(Q_1=15\). Upper half 17, 18, 19, 21, 38: \(Q_3=19\). \(\text{IQR}=19-15=4\).

    \(1.5\times 4=6\). Lower fence \(15-6=9\); upper fence \(19+6=25\).

    The value 38 is above 25, so 38 is an outlier. No value is below 9.

    Algebra 1 Statistics Worksheet Answer Key: problems 16–20

    Problem 16: Effect of an outlier

    Before: mean \(=\frac{30}{5}=6\), median 6.

    After: sum \(=30+31=61\). Mean \(=61: 6\approx 10.2\). The ordered data 4, 5, 6, 7, 8, 31 have median \(\frac{6+7}{2}=6.5\).

    05101520253035Value
    The data with the new value 31 (orange).

    The mean rose by about 4.2 and the median rose by only 0.5. The mean changed more.

    Problem 17: Choose the best measures

    (a) Median and IQR: the mansions skew the data right and would drag the mean upward.

    (b) Mean and SD: the data are symmetric and have no outliers, so these measures describe them well.

    (c) Median and IQR: the 110-degree day is an outlier that would distort the mean and the SD.

    Problem 18: Describe the shape

    Most students play few hours and a few play many, so the distribution is skewed right.

    The long tail of large values pulls the mean up, so the mean is probably greater than the median. (The median is the 12th value, which lies in the 2 to 4 interval.)

    For skewed data, use the median and IQR.

    Problem 19: Basketball points

    (a) Sum \(=150\), so the mean is \(150: 10=15\).

    (b) Order: 9, 11, 12, 13, 14, 15, 15, 18, 21, 22. Median \(=\frac{14+15}{2}=14.5\). \(Q_1=12\), \(Q_3=18\), \(\text{IQR}=18-12=6\).

    (c) Differences from 15: \(-3,0,-6,7,-1,-4,3,0,-2,6\). Squares: 9, 0, 36, 49, 1, 16, 9, 0, 4, 36, which add to 160. \(160: 10=16\), SD \(=\sqrt{16}=4\).

    (d) New sum \(=190\); new mean \(=190: 11\approx 17.27\). The 11 ordered values have median 15 (the 6th). The mean rose by about 2.27 and the median by 0.5, so the mean changed more.

    Problem 20: Commute times

    City A: \(\text{IQR}=32-18=14\). City B: \(\text{IQR}=28-22=6\). The medians are both 25 minutes.

    0102030405060City ACity BCommute time (minutes)
    Commute times for two cities.

    The typical commute is the same, but City B’s middle half is much tighter and its range is smaller (20 minutes against 40). City B has the more predictable commute.

    Algebra 1 Statistics Worksheet Answer Key: problems 21–24

    Problem 21: Missing quiz score

    Total for five quizzes \(=5\times 84=420\). The first four add to \(80+92+78+85=335\).

    Fifth score \(=420-335=85\). 85

    Ordered: 78, 80, 85, 85, 92. Median 85

    Problem 22: Home prices

    Before: sum \(=1,405\). Mean \(=1,405: 6\approx 234.2\), median \(=\frac{230+240}{2}=235\).

    After: sum \(=1,405+1,200=2,605\). Mean \(=2,605: 7\approx 372.1\). The 7 ordered prices have median 240 (the 4th).

    The mean jumped by about 138 thousand dollars while the median moved by 5 thousand. The median better describes a typical home.

    Problem 23: Cookie weights

    A: sum \(=10.0\), mean \(=2.0\). B: sum \(=10.0\), mean \(=2.0\).

    A: differences \(-0.2,-0.1,0,0.1,0.2\); squares add to \(0.04+0.01+0+0.01+0.04=0.10\); \(0.10: 5=0.02\); SD \(=\sqrt{0.02}\approx 0.14\).

    B: differences \(-0.5,-0.2,0,0.2,0.5\); squares add to \(0.25+0.04+0+0.04+0.25=0.58\); \(0.58: 5=0.116\); SD \(=\sqrt{0.116}\approx 0.34\).

    The means are equal, but A has the smaller SD, so Bakery A makes more consistent cookies (SD \(0.14\) against \(0.34\) ounces).

    Problem 24: Two classes

    Class 1: \(78-4=74\) to \(78+4=82\). Class 2: \(78-12=66\) to \(78+12=90\).

    Class 2’s scores spread much wider, so its high scores can reach beyond 90: Class 2 is more likely to have scores above 90.

    Class 1’s smaller SD means its scores are clustered close to 78: Class 1 has more similar scores.

    How to use this algebra 1 statistics worksheet answer key

    Read this algebra 1 statistics worksheet answer key after trying each problem yourself, and redo any problem you missed.

    Next step after this algebra 1 statistics worksheet answer key: Statistics: Center, Spread and Data Displays test

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    Algebra 1 Statistics: Center, Spread and Data Displays worksheet answer key

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