Question A

Categorise the following data types into Nominal, Ordinal, Interval or Ratio data:

SOLUTION:

  1. Floor area - RATIO
  2. Memory card capacity - RATIO
  3. Premier league positions - ORDINAL
  4. Shapes - NOMINAL
  5. Latitude - INTERVAL
  6. Pay grades - ORDINAL
  7. Salary - RATIO
  8. Playing cards - NOMINAL
  9. Longitude - ORDINAL (it’s very nearly INTERVAL, however longitude loops back around)
  10. Olympic medals (gold, silver, bronze) - ORDINAL
  11. Vegetables - NOMINAL
  12. Date - INTERVAL
  13. Foot size - ORDINAL
  14. Musical notes - (NOMINAL if considering their names, ORDINAL if considering their octaves too, may also be INTERVAL when considered musically. Only RATIO if considering wavelengths, but these increase exponentially.)
  15. Horsepower - RATIO

Question B

  1. Give an example of a data set with 6 values that has the same mean, median, and mode.

    SOLUTION: e.g. \(\{3, 3, 3, 3, 3, 3\}\). Mean is 3, median is 3, and mode is 3.

  2. Give an example of a data set with 5 values that has different values of mean, median, and mode.

    SOLUTION: e.g. \(\{1, 1, 2, 3, 493\}\). Mean is 100, median 2, mode is 1.


Question C

For each of the following determine the most appropriate data visualisation and draw it:

Company End of Year Profit
Apple $12 million
Tesco $3 million
Microsoft $10 million
Swatch $2 million
McDonalds $7 million

SOLUTION:


Height (cm) 131 142 130 127 138 149 131 135 143 145
Weight (kg) 70 74 70 71 78 82 72 75 78 80

SOLUTION:


Ages of patients in a ward: {57, 64, 69, 69, 69, 74, 75, 76, 76, 77, 78, 79, 80, 81, 81, 84, 86, 87, 87, 88, 89, 89, 92, 98}

SOLUTION:



Question D

Look at the data visualisation below:

  1. Give the range, median, Q1, Q3, and IQR for the weigths of dogs, cats and rats.

    SOLUTION:

    • Dogs:
      • Range = 15
      • Q1 = 15
      • Median = 18
      • Q3 = 20
      • IQR = 5
    • Cats:
      • Range = 10
      • Q1 = 10
      • Median = 15
      • Q3 = 17
      • IQR = 7
    • Rats:
      • Range = 4
      • Q1 = 3
      • Median = 4
      • Q3 = 5
      • IQR = 2
  2. Can we select a dog that is heavier than a cat?

    SOLUTION: Yes

  3. Can we select a cat that is heavier than a dog?

    SOLUTION: Yes

  4. Can we select a rat that is heavier than a dog?

    SOLUTION: No

  5. Can we select a cat that is lighter than a rat?

    SOLUTION: No

  6. A dog is selected at random, what is the probability that there exists a cat heavier than it?

    SOLUTION: 0.5. As 50% of all dogs are heavier than any can (median dog is equal to maximum cat), then there is a probability 0.5 of selecting a dog heavier than the heaviest cat, and a probability 0.5 of selecting a dog which is lighter than the heaviest cat.

  7. Look at the data visualisation below:

Give a data set with 11 values that would correspond to this.

SOLUTION: For example \(\{1, 1, 3, 4, 5, 5, 5, 5, 6, 7, 7\}\), any set of values where the 1st value is 1, the 3rd is 3, the 6th is 5, the 9th is 6, and the 11th is 7.


Question E

In one day, the total amount of money spent at 2 shops by customers are shown below:

  • Shop 1: {£3.00, £2.50, £7.80, £10.11, £0.99, £1.20, £3.00, £2.99, £2.40, £0.50, £5.00, £3.35, £2.40, £2.40, £5.10, £1.20, £3.00, £3.00}
  • Shop 2: {£50.10, £48.30, £41.99, £50.30, £61.00, £48.20, £51.50, £39.00, £60.00, £42.12, £39.00, £55.00, £59.99, £47.80, £39.00}
  1. Calculate the mean and median of each data set.

    SOLUTION:

    • Mean of Shop 1: £3.33
    • Median of Shop 1: £2.995
    • Mean of Shop 2: £48.88667
    • Median of Shop 2: £48.3
  2. Calculate the variance and standard deviations of each data set.

    SOLUTION:

    • Variance of Shop 1: £5.4591
    • Standard deviation of Shop 1: £2.3365
    • Variance of Shop 2: £ 55.3188
    • Standard deviation of Shop 2: £7.4377
  3. Which data set has the largest relative variance?

    SOLUTION:

    • Coefficient of variance for Shop 1: £2.3365 / £3.33 = 0.701646
    • Coefficient of variance for Shop 2: £7.4377 / £48.88667 = 0.152141
    • Therefore Shop 1 has the largest relative variance.
  4. Draw box and whisker plots for both data sets on different axes and comment on their shape.

    SOLUTION:

    Shop 1 has a larger skewness and kurtosis.


Question F

  1. Put the following in order of skew:

    SOLUTION:

  2. Put the following in order of kurtosis:

    SOLUTION: