Math 4 Exploratory Data Analysis Flashcard

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What is exploratory data analysis (EDA)?

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Exploratory Data Analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often using visual methods. It helps in understanding the data's structure, patterns, and anomalies.

Tags

CCSS.6.SP.B.5B

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What are the two main types of data in statistics?

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The two main types of data in statistics are numerical data (quantitative) and categorical data (qualitative). Numerical data represents measurable quantities, while categorical data represents characteristics or attributes.

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What is the difference between numerical and categorical data?

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Numerical data consists of numbers and can be measured or ordered, while categorical data consists of categories or labels and cannot be measured in a numerical sense.

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What is a common method used in EDA to visualize data distributions?

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Histograms are a common method used in EDA to visualize the distribution of numerical data.

Tags

CCSS.6.SP.B.5B

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What is the purpose of using box plots in EDA?

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Box plots are used in EDA to display the distribution of data based on a five-number summary: minimum, first quartile, median, third quartile, and maximum.

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What does the term 'outlier' refer to in data analysis?

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An outlier is a data point that differs significantly from other observations in a dataset. Outliers can indicate variability in the measurement or may suggest experimental errors.

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What is the role of summary statistics in EDA?

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Summary statistics, such as mean, median, mode, and standard deviation, provide a quick overview of the central tendency and variability of the data.

Tags

CCSS.6.SP.A.3

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How can scatter plots be useful in EDA?

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Scatter plots are useful in EDA for identifying relationships or correlations between two numerical variables.

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What is the significance of the correlation coefficient in data analysis?

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The correlation coefficient measures the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

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CCSS.HSS.ID.B.5

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What is the difference between descriptive and inferential statistics?

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Descriptive statistics summarize and describe the characteristics of a dataset, while inferential statistics use a sample to make inferences or predictions about a population.

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CCSS.HSS.IC.B.3