Assessment Criteria - Year 9 - Maths, Handling Data

KS3 Level

Data

Projected KS4 Grades

 7

I am able to criticise questions and responses from a questionnaire.
I understand and plan to minimise bias using systematic sample selection.
I can justify the use of the different types of sampling e.g. Random/systematic etc.
I am able to identify and explain anomalies in a data set
I can construct and interpret a frequency table for a set of continuous data
I can design and complete a two-way table using information given in a problem.

I can construct cumulative frequency tables and graphs.
I can estimate the median, quartiles and interquartile range for large data sets from cumulative frequency graphs.
I can recognise when it is appropriate to use mean, median or mode in large data sets. You must be able to justify the suitability of the result.
I can interpret box plots
I am able to interpret and analyse information in linear real-life graphs

 9

6

I am able to interpret correlation in a scatter graph by writing a sentence to explain the context of the data.
I can justify readings from Scatter Graphs using interpolation (extending the line of best fit).
I understand how to show given information on a probability tree diagram.
I can use a probability tree diagram to represent outcomes of combined independent events (with replacement).

I am able to determine the probabilities for two or more successive independent events using a probability tree diagram.
I understand and use relative frequency as an estimate of probability.
I can discuss the reliability of an experiment based on sample size and use to interpret and compare outcomes of experiments

8

5

I can write the questions and response sections for a questionnaire.
I understand the difference between a sample and a full population and the justification for a sample and a sample size
I understand and can plan to minimise bias using a random sample selection.
I can construct a frequency table with equal class intervals for discrete data making sure there are no overlaps in the data.
I can collect data using a pre-drawn tally/frequency table for continuous data, discussing what the inequalities mean.
I can construct on paper, line graphs for time series

I can construct on paper scatter graphs, identify the types of correlation by drawing lines of best fit.
I can justify the suitability of a given bar chart, pie chart, line graph, scatter graph
I can interpret a Stem and Leaf Diagram
I can estimate the mean from a grouped frequency table.
I can calculate and find the range, modal class and interval containing the median of a grouped data frequency table.
I can recognise the advantages and disadvantages between measures of average

7

4

I can interpret a variety of different graphs
I can identify when the events in a problem are mutually exclusive and apply the knowledge that the sum of probabilities of all mutually exclusive outcomes is 1.
I can explain why that if the probability of an event occurring is p, then the probability of it not occurring is (1−p)
I can draw frequency trees based on given information

I can use a frequency tree to find a probability.
I can use tables or lists to calculate a missing probability
I understand and can use very simple set notation to describe parts of the Venn diagram
I can compare experimental probabilities with theoretical probabilities recognising that if an experiment is repeated the outcome may be different and that increasing the number of times an experiment is repeated generally leads to better estimates of probability.

6

3

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.

5

2

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.

4

1

I can find and justify probabilities for outcomes of an event, based on equally likely outcomes.
I can calculate the theoretical probability of an outcome.
I can determine probabilities from frequency tables and two-way tables.
I can use Venn diagrams to record all outcomes for single events and derive related probabilities.

I can calculate experimental probabilities by collecting data from a simple experiment and recording it in a table.
I can estimate the number of times an outcome will occur, given the theoretical probability and the number of trials.

3

WT+

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
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

2

WT

1

Each KS3 level can be subdivided into:-

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