Posted by : Unknown Thursday, 22 December 2016

  1. For the following sets of data, find to one decimal place
    1.  
      1. the mean
      2. the median, and
      3. the mode
    1. 0 – 0 – 0 – 0 – 1 – 0 – 0 – 0 – 0 – 0 – 0 
    2. 2 – 1 – 2 – 3 – 1 – 3 – 0 – 2 – 4 – 2 – 2 
    3. 2.4 – 3.9 – 1.8 – 1.7 – 4.0 – 2.1 – 3.9 – 1.5 – 3.9 – 2.6 
    4. 153.8 – 154.7 – 156.9 – 154.3 – 152.3 – 156.1 – 152.3 
  2. For the following sets of data, find
    1.  
      1. the mean
      2. the median
      3. the mode
    Briefly describe the positions of the mean, median and mode and their relation to one another for each data set.

    1. Table 1
      xfrequency
      -23
      -17
      08
      15
      24
    2.  
      Table 2
      xfrequency
      6.32
      6.41
      6.56
      6.65
      6.713
      6.84
    3.  
      Table 3
      xfrequency
      115
      25
      33
      41
      52

    4. For each of the following stem and leaf plots, find
      1. the median, and
      2. the modal-class interval
    1.  
      Table 4
      StemLeaf
      22 3 8
      31 1 4 2
      42 2 3 5 8 9 9
      52 4 7 7 8
      60 3 2
      74
      Stem 4, Leaf 2 represents 42 
    2.  
      Table 5
      StemLeaf
      0(0)2
      0(5)5 6 8
      1(0)0
      1(5)5 5 6 6 7 8 8 9
      2(0)0 0 0 1 1 2 3 3 3 4 4 4
      2(6)6 6 7 8 8 9 9
      3(0)0 4
      3(5)5 6 7 7 8
      Stem 3, Leaf 5 represents 35 
  1. Imagine that the annual population increases over a 10 year period are given in the table below:

    Table 6. Population increase
    YearIncrease from previous
    153,377
    252,170
    367,000
    490,332
    572,681
    665,226
    776,777
    883,657
    977,753
    1082,892
    1. Calculate the mean annual population increase over a 10 year period.
    2. Calculate the median annual population increase over a 10 year period.
    3. Do you think the difference between these two measures is significant? Give reasons for your answer, and explain which result gives a better indication of the data's centre. 
    4. For what purposes would one use measures such as these? 
  2. Forty students took a math test marked out of 10 points. Their results were as follows:

    9, 10, 7, 8, 9, 6, 5, 9, 4, 7, 1, 7, 2, 7, 8, 5, 4, 3, 10, 7,
    3, 7, 8, 6, 9, 7, 4, 2, 3, 9, 4, 3, 7, 5, 5, 2, 7, 9, 7, 1

    1. Prepare a frequency table of the scores. 
    2. Using the frequency table, calculate the mean, median and mode.
    3. Interpret these results. 
  3. Imagine that the number of unemployed people is given in the table below

    Table 7.  Unemployment
    Age groupNo. unemployed
    15 to 193,688
    20 to 244,031
    25 to 345,432
    35 to 444,360
    45 to 543,162
    55 to 641,702
    1. Copy the table into your notebook and find the midpoint of each interval. Calculate the average age of an unemployed person using the midpoint. 
    2. What is the modal-class interval? 
    3. In what age group does the median lie? 
    4. Briefly discuss the comparison of these three results. 
    5. Why do you think the number of unemployed people decreases after the age group 25 to 34? 
    6. How might social welfare organizations use these figures?
  4. A random survey of 100 married men gave the following distribution of hours spent per week doing unpaid household work:

    Table 8.  Hours spent per week doing unpaid household work
    HoursNo. of men
    0 to < 51
    5 to < 1018
    10 to < 1524
    15 to < 2025
    20 to < 2518
    25 to < 3012
    30 to < 351
    35 to < 401
    1. Copy the table into your notebook and include columns to find the endpoint (upper value) for each interval. Figure out the cumulative frequency and cumulative percentages and insert them into your table.
    2. Draw the ogive (or distribution curve) with the cumulative frequency on the y axis. 
    3. From the curve, find an approximate median value. What does this value indicate? 
    4. What is the modal-class interval? 
    5. Calculate the mean. What does this value indicate? 
    6. Briefly describe the comparison between the mean, median and mode values. 
    7. How would you find out whether women spent more hours doing unpaid household work per week than men? 
    8. The following is a hypothetical table of annual income of people aged 15 years or more:

  5. Table 9.  Annual income of people aged 15 years or more
    Income ($)Persons
    0 to 2,079114,195
    2,080 to 4,15944,817
    4,160 to 6,23945,862
    6,240 to 8,319139,611
    8,320 to 10,399114,192
    10,400 to 15,599148,276
    15,600 to 20,799123,638
    20,800 to 25,999121,623
    26,000 to 31,199103,402
    31,200 to 36,39973,463
    36,400 to 41,59959,126
    41,600 to 51,99968,747
    52,000 to 77,99956,710
    1. What is the modal-class interval? 
    2. Copy the table into your notebook and include columns to find the upper endpoint of each interval. Calculate cumulative frequencies and cumulative percentages. 
    3. Draw the ogive (or distribution curve). 
    4. From the curve, give an approximate value for the median annual individual income. 
    5. Calculate the mean annual income. (Hint: in the above table, the interval 2,080 to 4,159 actually represents 2,080 to < 4,160, so the midpoint is 3,120.) 
    6. Briefly compare the mean, median and mode values. 
    7. Which measure gives the most accurate picture of the data's centre?
    8. What types of organization would use information such as this?































Answer:

1.a) 
  1. 0.1
  2. 0
  3. 0
1.b) 
  1. 2
  2. 2
  3. 2
1.c) 
  1. 2.8
  2. 2.5
  3. 3.9
1.d)
  1. 154.3
  2. 154.3
  3. 152.3
2.a) 
  1. 0
  2. 0
  3. 0
  4. The mean, median and mode are equal. This distribution is almost symmetrical.
2.b) 
  1. 6.6
  2. 6.7
  3. 6.7
  4. Distribution is skewed left, so the mean is less than the median. The mode and median are the same. In skewed distributions, the median is the better measure of central tendency.
2.c) 
  1. 1.85
  2. 1
  3. 1
  4. The median and mode are the same. The distribution is skewed right, so the mean is more than the median. In skewed distributions, the median is the better measure of central tendency. In b) and c), the mean has been influenced by a few low and high values.
3.a) 
  1. 48
  2. 40 to 49
3.b) 
  1. 23
  2. 20 to 24
4.a) 72,186.5

4.b) 74,729

4.c) The measures are quite close together, given the size of each observation. The median probably gives the best indication of the data's centre, as there is a large diversity of observation values. The median would not be affected by the very large or very small values.

4.d) A government could use these measures when planning for building schools, hospitals and road construction. The government could also use them to help predict revenue intake from taxation.

5.a)  
  1. Table 1.  Math test results, marked out of 10 points
    Score (x)TallyFrequency (f)
    0
    1ll2
    2lll3
    3llll4
    4llll4
    5llll4
    6ll2
    7lllll lllll10
    8lll3
    9lllll l6
    10ll2
    Total40


5.b) mean = 5.9, median = 7, mode = 7 

5.c) The median is higher than the mean because most of the observations have high values. The mean is influenced by the lower scores. The mode is equal to the median.

6.a) 36.2 to 34 (Note: interval sizes are not the same. If they were, the 15 to 24 interval would be the modal-class interval.)

6.b) 25 to 34

6.c) All three results lie within the same interval, but distribution is skewed (or slanted) to the right.

6.d) The younger age groups, 15 to 19 and 20 to 24, are filled with students who are still in school or graduates who have not yet been able to get a job. The age groups after 25 to 34 contain a smaller proportion of unemployed people because these people have joined the work force full time and are no longer attending school.

6.e) Social welfare organizations might use these figures to plan employment programs catering to younger people.




 7.a)

  1. Table 2.  Hours spent per week doing unpaid household work
    HoursNo. of men (x)EndpointCumulative frequencyCumulative percentage
    0 to < 51511
    5 to < 1018101919
    10 to < 1524154343
    15 to < 2025206868
    20 to < 2518258686
    25 to < 3012309898
    30 to < 351359999
    35 to < 40140100100

7.b) 



7.c) The approximate median value is 17 hours. This indicates that the middle of the distribution is 17 hours.

7.d) The modal-class interval is 15 to < 20 hours.

7.e) The mean value is 16.8 hours. This indicates that the average number of hours that a married man spends doing unpaid household work is 16.8 hours.

7.f) The mean and median are very similar, and all measures lie in the modal-class interval. The distribution is almost symmetrical.

7.g) A survey could be conducted and analysed in a similar fashion. Then, the results of both surveys could be compared.

8.a) The modal-class interval is $10,400 to $15,599. (Note: interval sizes are not the same.)

8.b) 
Table 3. Annual income of people aged 15 years and more
Income ($)PersonsEndpointCumulative frequencyCumulative percentage
000.0
0 to < 2,080114,1952,080114,1959.4
2,080 to < 4,16044,8174,160159,01213.1
4,160 to < 6,24045,8626,240204,87416.9
6,240 to < 8,320139,6118,320344,48528.4
8,320 to < 10,400114,19210,400458,67737.8
10,400 to < 15,600148,27615,600606,95350.0
15,600 to < 20,800123,63820,800730,59160.2
20,800 to < 26,000121,62326,000852,21470.2
26,000 to < 31,200103,40231,200955,61678.7
31,200 to < 36,40073,46336,4001,029,07984.8
36,400 to < 41,60059,12641,6001,088,20589.7
41,600 to < 52,00068,74752,0001,156,95295.3
52,000 to < 78,00056,71078,0001,213,662100.0

8.c)





8.d) The median annual individual income is approximately $15,500.

8.e) The mean annual income is $19,986.

8.f) It is difficult to compare the mode with the mean and median because of the difference between the sizes of the intervals. The mean is higher than the median because it is affected by the higher incomes. This means that the distribution is skewed or slanted to the right.

8.g) The median gives the most accurate picture of the data's centre because it is not influenced by extreme values.

8.h) Some possible answers include the following:

  • social welfare organisations interested in the number of low-income earners;
  • businesses interested in the number of high-income earners; and
  • governments and other service providers interested in data, broken down by such characteristics as age, sex and geographic area, in order to locate services appropriately.

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