teacher overview
MMMRQgroupedSample.pdf
teach-learn-practise
useful extra
| teach-learn | practise-learn | timely practice | 1 | sign up for - use of timely practice
- training
to ensure students - retain their learning
- improve their accuracy
go to www.timelypractice.com click the Free Trial button or email info@srslearning.com | 2 | MMMRQgrouped2.pdf | 3 | MMMRQgrouped3.pdf | 4 | MMMRQgrouped4.pdf | 5 | MMMRQgrouped5.pdf | 6 | MMMRQgrouped6.pdfsample Q from each layer | teach-learn questions |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| View file |
|---|
| name | MMMRQgroupedSample.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgroupedTL1.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgroupedTL2.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgroupedTL3.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgroupedTL4.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgroupedTL5.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgroupedTL6.pdf |
|---|
| height | 250 |
|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
| layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| practise-learn worksheets | | View file |
|---|
| name | MMMRQgrouped1.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgrouped2.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgrouped3.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgrouped4.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgrouped5.pdf |
|---|
| height | 250 |
|---|
|
| | View file |
|---|
| name | MMMRQgrouped6.pdf |
|---|
| height | 250 |
|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
| print hints |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
see How to ... download a practise-learn pdf worksheet from learning resources if you are not sure how to download a document
NC information
National curriculum code and descriptions (partially) covered by the layers.
S4 interpret, analyse and compare the distributions of data sets from univariate empirical distributions through:
● appropriate graphical representation involving discrete, continuous and grouped data including box plots
● appropriate measures of central tendency (median, mean, mode and modal class) and spread (range, including consideration of outliers quartiles and interquartile range)