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29 Cards in this Set
- Front
- Back
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What are the three types of data |
Measurement, counting, group or categories |
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4 Types of data sets |
Univariate, bivariate, multivariate, time series |
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Types of problems |
Summary, relationship, comparison |
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Summary problems |
This has one variable, and could be a measurement or a count. |
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Relationship problems |
This has two variables, they must both be measurements. This investigation problem looks for a relationship between two variables. |
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Comparison problems |
This has two variables, one is a group and the other is a measurement. It compares the two groups to see if there is a difference in the measurments. |
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What does PPDAC stand for |
Problem plan data analysis conclusion. |
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What graph/s can you use for a summary question |
Stem and leaf Bar graph Dot plot Box and wisker plot |
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What graph/s can be used for a relationship problem |
Scatterplot |
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What graph/s can be used for a time series investigation |
Line graph |
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What graph/s can be used for a comparison problem |
Back to back stem and leaf plot Comparison dot plot Comparison box and wiskers |
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What is the perfect sample size |
30 |
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What are examples of measures of centre |
Mean Median Mode |
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Minimum |
Smallest number |
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What are examples of measures of spread |
Range IQR |
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Maximum |
Biggest number |
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LQ |
Halfway between min and median |
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Median |
The number in the middle position |
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Uq |
Halfway between the maximum and median |
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Mean |
+ all numbers ÷ by number of numbers |
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Range |
Maximum minus minimum |
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IQR |
UQ-LQ |
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Features to analyse when looking at graphs |
Shape Shift Spread Overlap Compairing the middle 50% Unusual features |
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Shapes of a graph |
Normal Left skewed Right skewed Multimodal Uniform |
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Shift |
Compairing the centers |
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Spread |
Compairing the spread |
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Extreme values |
Clusters or outliers |
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Features to look at when analysing time series investigations |
Trend Seasonality |
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Seasonality |
Seeing if there is a common pattern that occors each season |
