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Quantitative data
Numerical Values
Quantitative data
Sat scores, tuition cost, number of students
Qualitative data
Categorical values
Qualitative data
Marital status, college type (public/private)
Simple random sampling
Equal chance for all items.
Simple random sampling
Randomly selecting survey participants using Excel.
Systematic Sampling
Every K-th item after a random start. Ex: survey every 40th student
Stratified Sampling
Divide into strata, sample within each. Ensures subgroup representation
Cluster Sampling
Divide into clusters, randomly select clusters.
Cluster sampling
Based on geographic region
Strata
Any other grouped data thats not region
Time series
Data collected over time (e.g., monthly sales).
Cross sectional
Data collected at one point in time (e.g., student data for a single year)
Histograms
Quantitative, No gaps, frequency counts one continuous variable, numerical data. Values on x axis
Bar chart
Categorical data, values on y axis, has gaps
Skewed left
Mean is less than the median
Skewed right
Median is more than the median
Standard deviation
Measures the spread of data
Skewness of 0
data is symmettric