Data Handling Cycle, Slides of Data Analysis & Statistical Methods

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Data

Handling

Cycle

Pose your Question

Collect the Data

Present the Data

Analyse the Data

Interpret the data

Pose your Q: What do you want to find

out?

Collect the Data: Survey/experiment

Present the data: Table/graph

Analyse the data: Central

tendency/distribution/shape

Interpret the data: Draw conclusions &

reflect on original question

What type of data are you using? (Categorical nominal or ordered/numerical discrete or continuous)

What is the most suitable way to display your data? (Hint: Refer to the type of data you are using)

Can you use a graph that allows us to easily compare responses from different groups? (Are you able to compare by age/occupation/etc.)

Describe the data using:

 Central Tendency (Mean, Median and Mode): o Decide which central tendency method is the most suitable for your data and why? Outliers?  Spread/Distribution: o What is the range/interquartile range? Which is the most suitable?  Shape: o Skewness?

In all the above, what does the analysis tell us about the data?