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Making sense of data We got to deal with some Math here folks

Making sense of data We got to deal with some Math here folks

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Page 1: Making sense of data We got to deal with some Math here folks

Making sense of data

We got to deal with some Math here folks

Page 2: Making sense of data We got to deal with some Math here folks

Measures of Central Tendency

Page 3: Making sense of data We got to deal with some Math here folks

Measures of dispersion3 types: Range, Interquartile Range & Standard Deviation

Page 4: Making sense of data We got to deal with some Math here folks

Interquartile RangeShows the middle 50% of a set of scores

Page 5: Making sense of data We got to deal with some Math here folks

Standard Deviation

Page 6: Making sense of data We got to deal with some Math here folks

Put your data into graphs

Bar Graphs

Page 7: Making sense of data We got to deal with some Math here folks

Put your data into graphs

Histograms are different from bar graphs because they are used for continuous data (test scores)

Page 8: Making sense of data We got to deal with some Math here folks

Put your data into graphs

Frequency polygons is similar to a histogram as it shows continuous data but its advantage is that it can graph 2+ frequency distributions

Page 9: Making sense of data We got to deal with some Math here folks

Statistical SignificanceProbability (p) concerns the degree of certainty that an observed difference or relationship between 2 sets of data is a real difference rather than having occurred by chance.

eg. If I flip a coin 100 times and it lands on heads 60 times

A result is considered to be significant if it occurs 95% of the time, p 0.05

The lower the probability that it occurred by change the greater the significance