The Bureau of Labor Statistics collects data on earnings of workers in the US classified according to various characteristics.

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Analysis 1: The Bureau of Labor Statistics collects data on earnings of workers in the US classified according to various characteristics. This data contains the weekly earnings in dollars of 30 men and 30 women in two age groups (16-19, 20-24) who were working full-time in the first quarter of 2013.

Perform an Analysis of Variance (ANOVA) on this data set to determine if age and gender affect earnings.

  1. Results (in proper statistical reporting format; ie F=xx.xx, MSE=xx.xx, p=.xxx)

Main effect(age)

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Main effect(gender) Interaction effect


(age*gender)

  1. In one short, succinct paragraph, briefly state your findings. What is the pattern you see here? What is the optimal combination of age and gender (in other words, who tends to make the most money?)

  1. Create a table containing the means of all conditions.

Fill in the graphs below to represent:

  1. The pattern you observed in your data analysis.
  2. A possible pattern reflecting no main effect of age, a main effect of gender wherein females earned less than males, and no interaction effect.
 
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