Exam 4: Visualizations: Using Visualizations and Summaries to Share Results

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Red,Yellow,and Blue would be best described as an example of:

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The primary statistic used with quantitative data is proportion.

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In describing interval data,0 does not mean "the absence of," but is simply another number.

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The following are typical examples of nominal data except:

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The following are typical examples of ratio data except:

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Which type of chart is best described as useful for identifying the correlation between two variables or for identifying a trend line or line of best fit?

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After completing your data analysis,the write-up should only include a discussion of the steps of the IMPACT model that really matter.

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If you are comparing two datasets that follow the normal distribution,even if the two datasets have very different means,you can still compare them by standardizing the distributions with Zscores.

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The following charts are frequently considered for depicting qualitative data except:

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Continuous data is data that can take on any value within a range.

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The standard normal distribution has 1 for its mean,median,and mode.

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Which type of chart is best described as useful for when quartiles,median,and outliers are required for analysis and insights?

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Declarative visualizations are the product of wanting to 'declare' or present your findings to an audience.

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Declarative visualizations are the product of wanting to declare or present your findings to an audience.

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There are very few methods for visualizing quantitative date.

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Data visualizations should not be used to satisfy an exploratory purpose.

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Qualitative data is categorical data.

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The following are typical examples of nominal data except:

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The standard normal distribution has a 0 for its standard deviation.

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Nominal data is the simplest form of data.

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