1. Cumulative Frequency The local council wanted to find out about environmentally friendly transport. A survey of 40 cyclists was conducted to find out the ages of those using the cycle paths, around Cramlington, one day in April. The following data was collected: 84030 50 4911122311 4022131421 1113654915 4523341339 1424351673 1225361629 2612272813

2. 3. Now complete the Cumulative Frequency Curve 2. Complete the cumulative frequency table below Age Group (a years) FrequencyCumulative Frequency 0 < a ≤ 10 0 < a ≤ 20 0 < a ≤ 30 0 < a ≤ 40 0 < a ≤ 50 0 < a ≤ 60 0 < a ≤ 70 0 < a ≤ 80 Age Group (a years) TallyFrequency 0 < a ≤ 10 10 < a ≤ 20 20 < a ≤ 30 30 < a ≤ 40 40 < a ≤ 50 50 < a ≤ 60 60 < a ≤ 70 70 < a ≤ 80 1. Use the raw data to complete this grouped tally chart

3. Cumulative Frequency – Interpreting Data Questions to answer using your Cumulative Frequency Graph: Bronze 1.How many cyclists were under 30? 2.How many cyclists were over 50? 3.What is the median age? Silver 1.What is the upper (UQ) and lower (LQ) quartiles? 2.What is the interquartile range (IQR)? 3.Why is the IQR important? Gold 1.What does the data tell the council about who is using the cycle paths? 2.What might be biased about the survey? (Think about where/ when/ who is being asked)

4. Raw Data Sulphur Oxides Emissions from an Industrial Plant Grouped DataCumulative Frequency Table