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Over a period of time, the number of people x leaving a hotel each morning was recorded - Edexcel - A-Level Maths Statistics - Question 1 - 2006 - Paper 1

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Over a period of time, the number of people x leaving a hotel each morning was recorded. These data are summarised in the stem and leaf diagram below. Number leavin... show full transcript

Worked Solution & Example Answer:Over a period of time, the number of people x leaving a hotel each morning was recorded - Edexcel - A-Level Maths Statistics - Question 1 - 2006 - Paper 1

Step 1

a) write down the mode

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Answer

The mode is the most frequently occurring number in the dataset. Looking at the stem-and-leaf diagram, the most common value is 56, so the mode is 56.

Step 2

b) find the values of the three quartiles

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Answer

To find the quartiles, we need to order the data and determine:

  • First Quartile (Q1): Located at the 25th percentile — for 27 data points, this is the 7th value, which is 35.
  • Second Quartile (Q2 or Median): Located at the 50th percentile — this is the 14th value, which is 52.
  • Third Quartile (Q3): Located at the 75th percentile — this is the 21st value, which is 60.

Step 3

c) the mean and the standard deviation of these data

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To calculate the mean (ar{x}):
ar{x} = \frac{Σx}{n} = \frac{1335}{27} \approx 49.4

For the standard deviation (σσ), we use the formula:
σ=Σx2(Σx)2nn=71801(1335)2272714.6.σ = \sqrt{\frac{Σx² - \frac{(Σx)²}{n}}{n}} = \sqrt{\frac{71801 - \frac{(1335)²}{27}}{27}} \approx 14.6.

So, the mean is approximately 49.4 and the standard deviation is approximately 14.6.

Step 4

d) Evaluate this measure to show that these data are negatively skewed

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Using the formula for skewness: Skewness=xˉmodeσ\text{Skewness} = \frac{\bar{x} - \text{mode}}{σ}

Substituting the values we have: Skewness=49.45614.60.448\text{Skewness} = \frac{49.4 - 56}{14.6} \approx -0.448

Since the skewness is negative, this indicates that the data is negatively skewed.

Step 5

e) Give two other reasons why these data are negatively skewed

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Answer

  1. Mean < Median: The mean (49.4) is less than the median (52), which is a sign of negative skewness.
  2. Presence of Outliers: If there are a few extreme values on the lower end, this can pull the mean down, further indicating negative skewness.

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