Question: Effective data visualization is important for communicating findings to audiences without the need for technical knowledge to understand the analysis. However, data visualizations can be

Effective data visualization is important for communicating findings to audiences without the need for technical knowledge to understand the analysis. However, data visualizations can be misleading, showing apparent differences where, statistically, none exist. What are the advantages of applying statistical tests to data? How do these tests enhance a business's ability to make decisions? Review the "Sample Visual," located in the topic Resources. Although there appears to be a difference between the two groups of observations, discuss some of the ways that this visualization could be misleading. What kind of test could you apply to this data to determine if there was a statistical difference between the two groups?

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