ST25: Common Calculation Pitfalls
Identifies the most frequent calculation errors in GCSE Statistics, emphasises the importance of showing working, using formulas correctly, and checking answers for reasonableness in context.
Identifies the most frequent calculation errors in GCSE Statistics, emphasises the importance of showing working, using formulas correctly, and checking answers for reasonableness in context.
Identifies the most frequent calculation errors in GCSE Statistics, emphasises the importance of showing working, using formulas correctly, and checking answers for reasonableness in context.
For Common Calculation Pitfalls, you must know:
Q: A student calculates the mean of grouped data as 45.2 using class upper bounds instead of midpoints. The classes are 10β20, 20β30, 30β40. What should they have used?
Q: A student computes P(A or B) = 0.6 + 0.7 = 1.3. Why is this wrong?
Q: Calculate the percentage change when a value rises from 80 to 100. A student writes (100Γ·80) Γ 100 = 125%. Is this correct?
Q: A student finds the IQR as Q1 + Q3 = 24 + 36 = 60. What is the correct IQR?
Q: A student calculates Spearmanβs rank with n = 8 and βdΒ² = 22 and gets r_s = 2.1. How do you know this is wrong?
β Using class upper bounds or lower bounds instead of midpoints in grouped data calculations β Always calculate the midpoint = (lower + upper) Γ· 2 for each class
β Adding Q1 and Q3 instead of subtracting to find IQR β IQR = Q3 β Q1, not Q3 + Q1
β Dividing by the new value instead of the original when calculating percentage change β Percentage change = ((new β original) Γ· original) Γ 100; always divide by the original value
β Rounding too early in multi-step calculations, leading to a wrong final answer β Keep full calculator precision for intermediate steps; round only the final answer
The table shows grouped data for the masses of 40 parcels. Calculate the estimated mean. | Mass (kg) | Frequency | |-----------|----------| | 0β2 | 8 | | 2β4 | 14 | | 4β6 | 12 | | 6β8 | 6 |
Step 1: Find the midpoint of each class. 0β2: midpoint = 1, 2β4: midpoint = 3, 4β6: midpoint = 5, 6β8: midpoint = 7 Step 2: Calculate midpoint Γ frequency for each class. 1 Γ 8 = 8, 3 Γ 14 = 42, 5 Γ 12 = 60, 7 Γ 6 = 42 Step 3: Sum the results. βfx = 8 + 42 + 60 + 42 = 152 Step 4: Divide by the total frequency. Estimated mean = 152 Γ· 40 = 3.8 kg Reasonableness check: 3.8 kg is between the lower and upper bounds of the data (0 and 8), and it falls in the 2β4 class, which has the highest frequency, so this is plausible.
AO1 (Knowledge & Understanding): Demonstrate knowledge and understanding of common calculation pitfalls, including data collection, presentation and calculation techniques relevant to Edexcel 1ST0 & AQA 8382.
AO2 (Application): Apply knowledge and understanding of common calculation pitfalls to interpret data, reason statistically and draw conclusions in context.
AO3 (Evaluation): Evaluate statistical methods and conclusions, assessing appropriateness, reliability, validity and bias through the statistical enquiry cycle.
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