Presentation on theme: "Scatter Plots – Age and Reaction Time"— Presentation transcript:
1 Scatter Plots – Age and Reaction Time By: Heather, Robyn & Ryan
2 http://www.youtube.com/watch?v=9Iw3a_ LtJVE Digital Resource 1LtJVE
3 Overview Declarative and procedural knowledge. Defining the Key terms. Why do we use scatter plots?Time for you to create a scatter plot.Using a scatter plot to make predictions.Quick quizMathematical worth of additional three digital resources.
4 Declarative & Procedural Knowledge Declarative KnowledgeProcedural KnowledgeKey terms:-scatter plot (scatter diagram),line of best fit, trend line,positive and negative relationship/correlation;Bivariate data;Appropriate use of graphs and how to apply this learning.How to read and interpret the various patterns and variables of a scatter plot. Identify scatter plot trends and make predictionsIdentify uses for scatter plots.Create a scatter plot.Interpret authentic data to draw conclusions. Analyse data and recognise patterns.
5 DefinitionsScatter Diagram – A graph of plotted points that show the relationship between two sets of data.Correlation – When the two sets of data are linked together; Co (meaning ‘together’), and Relation.You will also see the words, Relationship and association.
6 Definitions Positive Correlation – When the values increase together. Negative Correlation – When one values decrease and the other increases.No Correlation - Where a change in one set of data has no effect on the other set.
7 DefinitionsLine of best fit – To find the direction of a correlation between two variables.Trend line - A line on a graph indicating a statistical trend
8 DefinitionsBivariate data - a set up of data made up of two variables.For example, comparing height to weight or age to reaction time.
9 Scatter Plot Data: Age Reaction Time 18 0.43 22 28 0.45 32 38 0.46 42 480.4752580.48620.50680.52