 Assessment Criteria - Year 7 - Maths, Handling Data

 KS3 Level Handling Data Projected KS4 Grades 5 I can decide on the type of data appropriate for data collection. I can write a hypothesis to investigate a given situation, giving reasoning as to whether it may be true or false. I can identify where the different methods of data collection might be used and why a given method may or not be suitable in a given situation. I understand how and why bias may arise in the collection of data and I can offer ways of minimising bias for a data collection method. I can construct a frequency table for discrete data including quantitative and qualitative data. You understand the reasoning between using grouped and ungrouped data and the advantages and drawbacks of grouping data in particular ranges. I can construct frequency diagrams and frequency polygons for continuous data. You understand and can identify key features present in the data of this type of graph. 9 4 I can draw and produce stem and leaf diagrams. I can construct pie charts for a given set of data. You understand and can identify key features present in the data of this type of graph. I can calculate the mean from a frequency table. I can compare two simple distributions using the range and the mean. I understand the differences between the three averages and can determine which one is appropriate to use with discrete data. I can interpret pie charts taking into account different sized samples and using simple fractions, percentages and multiples of 10% sections. I can compare two distributions displayed in pie charts. 8 3 •     You can find and justify probabilities for outcomes of an event, based on equally likely outcomes You can calculate the theoretical probability of an outcome. You can determine probabilities from frequency tables and two-way tables. You can use Venn diagrams to record all outcomes for single events and derive related probabilities. You can calculate experimental probabilities by collecting data from a simple experiment and recording it in a table. You can estimate the number of times an outcome will occur, given the theoretical probability and the number of trials. 7 2 I can decide on the type of data appropriate for data collection I understand the reasoning between using grouped and ungrouped data, and understand the advantages and disadvantages of grouping data in particular ranges I can draw stem and leaf diagrams •     I can construct bar charts for discrete data, include grouped data. I understand and identify key features present in the data of bar charts then extend to constructing a comparative/dual bar chart for discrete data 6 1 I can compare differing sets of data using the range, median and mode I can find the median group and modal class from a grouped frequency table for continuous data I can calculate the mean from a set of discrete data I can explain the results from a bar chart by working out possible frequencies. I can identify that the mode is represented by the largest section/tallest bar. I can interpret and/or compare bar graphs and frequency diagrams which are misleading (with false origins, different scales etc.) I can compare two or more data sets and make inferences based on the shape of the bar chart including measures of average and spread 5 WT+ I can describe the likelihood of familiar events using the language of probability (e.g. even, unlikely, etc.). I can use the key probability words and know how these apply to the probability scale from 0 to 1. I can use probability vocabulary when interpreting results from and experiment •     I can write probabilities in words, fractions, decimals and percentages I can identify all of the mutually exclusive outcomes of a single event and list them in a systematic way. I can then extend to exploring and recording outcomes for two or more successive events in a systematic way eg. a two way table or a frequency table I understand the difference between experimental and theoretical probability. You understand the terms ‘fair’ and ‘bias’ in regards to experimental probabilities (e.g. use an experiment to see if a dice is biased) 4 WT I can determine the difference between a statement and a question and know the meaning of the term ‘hypothesis’ •     I understand and can select methods for collecting primary data e.g. tally charts, surveys, questionnaires •     I understand the language for different types of data, including discrete, continuous, qualitative and quantitative •     I know when it is appropriate to use a tally chart to collect data and can construct a tally chart to collect discrete data including quantitative and qualitative data I can construct pictograms where each diagram represents one unit or more than one unit I can design, use and understand Carroll diagrams and two way tables •     I can find the mode from a small set of discrete data •     I can interpret and select data from a two way table I understand how to show data in a Venn diagram and interpret data from a Venn diagram 3 WT- 1/2

Each KS3 level can be subdivided into:-

• + (all of the assessment criteria are met)
• full grade (most of the criteria are met) and
•  (some criteria are met)

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