Data Visualization Basics

How do you create a dot plot?

• Use different shapes instead of dots

• Draw a line connecting the data points

• List out data points, place a dot above each point on a number line or grid.

• Place dots randomly on the grid

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CCSS.6.SP.B.4

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Explain the process of constructing a histogram.

• The process involves determining data range, creating bins, counting data points in each bin, and drawing bars to represent frequencies.

• To create a histogram, one must first convert all data points to percentages and then plot them on a graph.

• The process involves sorting data alphabetically, grouping similar values, and drawing bars to represent frequencies.

• Constructing a histogram requires calculating the mean, median, and mode of the dataset.

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CCSS.6.SP.B.4

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What information can you gather from analyzing a box plot?

• Distribution, central tendency, variability, and outliers

• Trend analysis, correlation, regression, forecasting

• Mean, mode, range, quartiles

• Standard deviation, variance, skewness, kurtosis

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CCSS.6.SP.B.4

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Interpret the data presented in a stem and leaf plot.

• Interpreting the data in a pie chart

• Counting the number of leaves in the plot

• Interpreting the data presented in a stem and leaf plot involves identifying the stems and leaves to determine the actual data values and their frequency.

• Identifying the roots of the data

What is the purpose of using double box plots?

• To represent categorical data with a histogram.

• To compare two sets of data distributions visually.

• To compare data distributions with a line graph.

• To display only one set of data visually.

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Compare and contrast double stem and leaf plots with double dot plots.

• Double stem and leaf plots are used for categorical data, while double dot plots are used for numerical data.

• Double stem and leaf plots show distribution along with data points, while double dot plots only show data points.

• Double stem and leaf plots and double dot plots both show distribution along with data points.

• Double stem and leaf plots show data points only, while double dot plots show distribution along with data points.

When would you use double histograms in data analysis?

• To analyze categorical data

• To compare the distributions of two different groups or variables within the same dataset.

• To display a single variable's distribution

• To compare data from different datasets

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Describe the steps involved in creating a double dot plot.

• Choosing random data points

• Using a pie chart instead

• The steps involved in creating a double dot plot include determining categories, creating number lines, marking data points, differentiating categories, connecting dots, and adding titles/labels.

• Skipping the step of adding titles/labels

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CCSS.6.SP.B.4

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What insights can be gained from analyzing double box plots?

• Focusing only on the mean of the datasets

• Comparing medians, ranges, and spread of two datasets

• Ignoring any outliers in the data

• Analyzing triple box plots instead

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CCSS.7.SP.B.4

Discuss the significance of double histograms in statistical analysis.

• Double histograms are significant in statistical analysis as they enable the comparison of two different datasets within the same graph.

• Double histograms are only applicable to small datasets

• Double histograms help in predicting future trends

• Double histograms are used to analyze text data

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