Statistics Flashcards
(19 cards)
National Curriculum/Teacher Framework/KS2 Test
Y1: No content
Y2: Tables/lists/diagrams/explaining choices not explicitly mentioned
Y3: Venn diagrams to sort data not mentioned
Y4: No need for specific Q, presentations, representations where scales have diff. step sizes
Y5: Probability - KS3
Removed need for ICT, data procedures, selecting/organsing data and und/interpreting mode not mentioned
Y6: Probability - KS3
No detail about data handling. Averages not mentioned - other than mean
For working at ES chl are expected to do a lot of what is no longer included in curriculum
Testing
Measurement, Geometry + Stats only makes up 17-27 no. of marks (15-25%) Stats: interpret/represent data solve problems involving data mean average
Primary Data
Raw data collected by those who are going to analyse data
Secondary Data
Collected by other people, already tabulated/summaried e.g. from cereal packets
Discrete Data
Restricted to limited set of discrete values e.g. shoe size (6.3 doesnt exist) and money (cant have 32.87p)
Categorical/Nominal Data
Arising from counts taken on a categorical (unordered discrete) variable e.g. favourite colour
Oridnal Data
Order of values is important/signitificant but differences between each one not really known e.g. level of happiness from 1-10
Continuous Data
Measures such as length, mass, time, temp. produce C.D - when measuring masses between 30g and 35g every possible value is available not just whole no.s
Bar Chart/Histogram
B.C: Height = Frequency
H: Area of bars = Frequency
Data Handling Cycle
Posing Q:
Plan/formulate Q in terms of data needed and what inferences may be made from them
Collecting the data:
Decide on way data will be collected - experiments, surveys, data from atlases etc.
Represent/Analyse Data:
Reduce raw data into sumary information including tables and charts to provide insight into P
Interpreting/Discussing Data:
Relate summarised data to initial Q’s and pose further Q’s that might be answered by data or may require addtional data to be collected.
Data Handling Cycle - short
Specificy the P and plan Collect data from variety of sources Process and represent data Interpret/Discuss data Evaluate/Results
Statistics Overall
Usually one off lessons - consider planning series of lessons
Choose topic for week, structure as many subjects around this as can
Consider displays, presentations - importance of stats
Explore bias, show how we represent someething can influence how someone interprets results
Normal Distribution Curve
Mean, median, mode all lie in same place = identical
Mean is preferrred measurement
Negatively skewed data
Mean dragged in direction of skew so median preferred measure
Test too easy=ceiling effect
Same for positively skewed data
Mean
Add all no.s together and / by total e.g
6+3+100+3+13=125/5=25
Median
Order no.s to find middle value e.g.
3,3,6,13,100 = 6 is middle value
If there are 2 middle no.s the median is halfway between them
Mode
No. that appears most often
3,3,6,13,100 = 3 appears twice
Range
Difference between highest/lowest value
100-3=97
Box and Whisker Plots
3, 7, 7, 8, 9, 12, 14
3 = lowest no. 14 = highest no. 8 = median 7 = first quartile (first 7) 12 = second quartile
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
|———-|–|————-|——-|
L.N Q.1 M Q.2 G.N
Work out range, G.N-L.N 14-3=11
Median =8