Math 4 Exploratory Data Analysis Flashcard

Flashcard
•
Mathematics
•
11th - 12th Grade
•
Hard
+1
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is exploratory data analysis (EDA)?
Back
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
2.
FLASHCARD QUESTION
Front
What are the two main types of data in statistics?
Back
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.
3.
FLASHCARD QUESTION
Front
What is the difference between numerical and categorical data?
Back
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.
4.
FLASHCARD QUESTION
Front
What is a common method used in EDA to visualize data distributions?
Back
Histograms are a common method used in EDA to visualize the distribution of numerical data.
Tags
CCSS.6.SP.B.5B
5.
FLASHCARD QUESTION
Front
What is the purpose of using box plots in EDA?
Back
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.
6.
FLASHCARD QUESTION
Front
What does the term 'outlier' refer to in data analysis?
Back
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.
7.
FLASHCARD QUESTION
Front
What is the role of summary statistics in EDA?
Back
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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