YEAR 9 (ma4)
Specifying a problem, planning and collecting data Top
|
Y9 Objectives |
Resources |
|
Suggest a problem and identify questions/conjectures |
|
|
Discuss how data relates to problem and sources of data |
|
|
Identify possible sources of bias and how to minimise |
|
|
Plan/design survey/experiment to capture data |
|
|
Design, trial and refine data collection sheets |
|
|
Construct tables for large sets of raw data |
|
|
Design and use two-way tables |
|
|
Gather data from specified secondary sources |
|
|
Identify extra info. needed to pursue further enquiry |
|
Processing and representing data Top
|
Y9 Objectives |
Resources |
|
Calculate and select appropriate summary values |
|
|
Find the median for large data sets |
P stem and leaf |
|
Estimate the mean for large sets of grouped data |
|
|
Construct frequency polygons (ICT) |
|
|
Use bar charts and frequency diagrams (ICT) |
P pie charts |
|
Construct simple line graphs (ICT) |
|
|
Construct scatter diagrams and discuss correlation (ICT) |
W Correlation |
|
Identify the most appropriate representation of data |
|
|
Identify the key features present in the data |
|
Interpreting and discussing results Top
|
Y9 Objectives |
Resources |
|
Interpret tables, diagrams and graphs - relate to problem |
P scatter diagrams |
|
Analyse data to find patterns and exceptions |
|
|
Look for cause and effect and try to explain anomalies |
|
|
Compare 2+ distributions using shape, range and average |
|
|
Communicate interpretations/results of a statistical enquiry |
|
|
Examine critically the results of a statistical enquiry |
|
|
Y9 Objectives |
Resources |
|
Use vocabulary of probability |
|
|
Know sum of probabilities of m.e. outcomes is 1 or 100% |
|
|
Identify all mutually exclusive outcomes of an experiment
|
W Probability cards |
|
Estimate probabilities from experimental data Understand relative frequency as an estimate of probability |
|
|
Compare experimental and theoretical probabilities |
|
|
Appreciate difference between explanation and evidence |
|
SMARTIES - data handling project