zuai-logo
  • Home

  • Cliffs

  • Talk to ZuAI

  • Request a Feature

zuai-logo
  1. Statistics
FlashcardFlashcard
Study GuideStudy GuideQuestion BankQuestion Bank
Revise later
SpaceTo flip
If confident

All Flashcards

What is the definition of statistics?
The science of collecting, analyzing, and drawing conclusions from data.
What is the definition of quantitative data?
Numerical data that can be measured and averaged.
What is the definition of categorical data?
Data that represents groups or categories; cannot be averaged.
What is the definition of the 'center' of a quantitative data set?
A measure of the typical value, such as the mean or median.
What is the definition of 'spread' in statistics?
A measure of how dispersed or varied the data is (e.g., range, standard deviation, IQR).
Explain the concept of univariate data.
Data that involves only one variable.
Explain the concept of 'COSS' in data description.
A framework for describing quantitative data: Center, Outliers, Spread, Shape.
Explain the importance of context in statistical analysis.
Relating numerical answers back to the real-world meaning of the data; crucial for interpretation.
Explain the concept of proportions in categorical data.
The fraction of data points falling into a specific category.
Explain the concept of outliers in a data set.
Data points that are unusually high or low compared to the rest of the data.
What are the differences between quantitative and categorical data?
Quantitative: Numerical, average-able | Categorical: Groups, proportions.
What are the differences between mean and median?
Mean: Average of all values | Median: Middle value when data is ordered.
What are the differences between range and standard deviation?
Range: Max - Min | Standard Deviation: Average distance from the mean.
What are the differences between describing quantitative and categorical data?
Quantitative: COSS | Categorical: Proportions/Percentages.
What are the differences between symmetric and skewed distributions?
Symmetric: Data evenly distributed around the mean | Skewed: Data bunched to one side.