AP Statistics Calculator
Calculate comprehensive statistics for AP Statistics with mean, median, mode, standard deviation, variance, quartiles, skewness, kurtosis, and more. Perfect for students and researchers.
Calculate Statistics
Statistical Results
Advanced Statistics
Z-Scores & Percentile Ranks
Statistical Measures Overview
Central Tendency
Sum of all values divided by count
- ⢠Sensitive to outliers
- ⢠Most commonly used
Middle value when data is ordered
- ⢠Resistant to outliers
- ⢠Good for skewed data
Most frequently occurring value
- ⢠Can have multiple modes
- ⢠Useful for categorical data
Variability
Square root of variance
- ⢠Same units as data
- ⢠Measures spread
Average squared deviation
- ⢠Squared units
- ⢠Population vs sample
Difference between extremes
- ⢠Simple to calculate
- ⢠Sensitive to outliers
How to Calculate Statistics
Key Statistical Formulas
Calculation Steps:
- 1Enter your data setSeparate numbers with commas
- 2Select data typePopulation or sample (affects variance calculation)
- 3Calculate all statisticsGet comprehensive statistical analysis
Important Considerations
ā ļø Statistical Interpretation
Always consider context and data quality when interpreting statistical results.
Accurate results depend on quality data
- ⢠Check for outliers
- ⢠Ensure data completeness
- ⢠Verify measurement accuracy
Choose the correct data type
- ⢠Sample: subset of population
- ⢠Population: entire group
- ⢠Affects variance calculation
Consider data distribution characteristics
- ⢠Skewness indicates asymmetry
- ⢠Kurtosis shows tail behavior
- ⢠Affects interpretation
Extreme values can skew results
- ⢠Check z-scores > ±3
- ⢠Investigate unusual values
- ⢠Consider removal carefully
Example Cases
Case 1: Student Test Scores
Data Type: Sample (class of students)
Context: AP Statistics exam scores
Median: 88.5
Std Dev: 5.8
Range: 18
Use Case: Analyzing class performance and identifying students who may need additional help (z-scores < -1).
Case 2: Sales Data Analysis
Data Type: Population (monthly sales)
Context: Monthly revenue in dollars
Median: 1300
Std Dev: 142.9
Skewness: 0.0 (symmetric)
Use Case: Understanding sales variability and setting realistic targets for future months.
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