Standard Deviation Calculator

Standard Deviation Calculator Enter your data: Example: 10, 20, 30, 40, 50 or 10 20 30 40 50 Please enter valid numeric data. Calculate Sample Data Clear Count (n): - Sum: - Mean (Average): - Min: - Max: - Range: - Variance (Population): - Standard Deviation (Population): - Variance (Sample): - Standard Deviation (Sample): -

Statistics & Data · 2025-04-06

Correlation Calculator

Correlation Calculator Dataset X Example: 1, 2, 3, 4, 5 Dataset Y Example: 5, 4, 3, 2, 1 Calculate Correlation Clear Data Correlation Results Pearson's Correlation Coefficient (r): 0.00 Additional Statistics Statistic Dataset X Dataset Y Mean 0 0 Standard Deviation 0 0 Sample Size 0 Interpreting Correlation Correlation Value Interpretation 0.7 to 1.0 Strong positive correlation 0.3 to 0.7 Moderate positive correlation -0.3 to 0.3 Little or no correlation -0.7 to -0.3 Moderate negative correlation -1.0 to -0.7 Strong negative correlation

Statistics & Data · 2025-04-06

Sample Generator

Random Sample Generator Generate random samples for statistical analysis and data science projects Numeric Data Categorical Data Distributions Datasets Generate Random Numbers Sample Size Minimum Value Maximum Value Decimal Places Allow Duplicates Yes No Generate Sample Clear Results Generate Categorical Data Sample Size Categories (comma separated) Weights (comma separated, leave empty for equal weights) Generate Sample Clear Results Sample from Distribution Distribution Type Normal (Gaussian) Uniform Exponential Poisson Binomial Sample Size Mean (μ) Standard Deviation (σ) Generate Sample Clear Results Sample Datasets Click on any dataset below to generate a random sample: 📊 Iris Dataset 150 samples of iris flowers with 4 features 🏠 Boston Housing 506 housing samples with 13 features 🩺 Diabetes Dataset 442 diabetes patients with 10 features 🍷 Wine Dataset 178 wine samples with 13 features 🔬 Breast Cancer 569 samples with 30 features 🔢 Digits Dataset 1,797 handwritten digits with 64 features Dataset Sample

Statistics & Data · 2025-04-05

Probability Calculator

Probability Calculators Powerful tools for statistical analysis and probability calculations Basic Probability Distributions Bayesian Advanced Coin Toss Probability Calculate the probability of getting a specific number of heads in a series of coin tosses. Number of Tosses: Number of Heads: Calculate Probability: 0.246 Dice Roll Probability Calculate the probability of rolling a specific sum with multiple dice. Number of Dice: Desired Sum: Calculate Probability: 0.167 Card Draw Probability Calculate the probability of drawing specific cards from a standard deck. Number of Cards Drawn: Card Type: Face Cards (J, Q, K) Aces Hearts Spades Successful Draws: Calculate Probability: 0.344 Binomial Distribution Calculate probability with fixed number of trials with success/failure outcomes. Number of Trials (n): Probability of Success (p): Number of Successes (k): Calculate Probability P(X = k): 0.246 Cumulative P(X ≤ k): 0.623 Normal Distribution Calculate probabilities for normally distributed random variables. Mean (μ): Standard Deviation (σ): Calculate: P(X < x) P(X > x) P(a < X < b) Value (x): Upper Bound (b): Calculate Probability: 0.5 Poisson Distribution Calculate probability for events occurring in a fixed interval. Average Rate (λ): Number of Events (k): Calculate Probability P(X = k): 0.224 Cumulative P(X ≤ k): 0.423 Bayes' Theorem Calculate conditional probability using Bayes' theorem. Prior Probability P(A): Likelihood P(B|A): False Positive Rate P(B|not A): Calculate Posterior Probability P(A|B): 0.75 Bayesian Updating Update probability estimates based on new evidence. Prior Probability: Number of Evidence Items: Evidence 1 Likelihood Ratio: Evidence 2 Likelihood Ratio: Evidence 3 Likelihood Ratio: Calculate Updated Probability: 0.55 Confidence Interval Calculate confidence intervals for sample means. Sample Mean: Sample Standard Deviation: Sample Size: Confidence Level: 90% 95% 99% Calculate Confidence Interval: 46.4 to 53.6 Margin of Error: ±3.6 Monte Carlo Simulation Estimate probabilities using Monte Carlo simulation. Simulation Type: Dice Roll Sums Stock Price Movement Birthday Paradox Parameter 1: Parameter 2: Number of Trials: Run Simulation Estimated Probability: 0.324 95% Confidence Range: ±0.029 Hypothesis Testing Perform statistical hypothesis tests for means. Test Type: One-Sample t-test Two-Sample z-test Sample Mean: Sample Standard Deviation: Sample Size: Null Hypothesis Value: Alternative Hypothesis: Two-sided (≠) Greater than (>) Less than (<) Calculate Test Statistic: 1.10 p-value: 0.280 Result: Fail to reject null hypothesis © 2025 Probability Calculators | All results are approximate and for educational purposes only

Statistics & Data · 2025-04-05

Data Visualization

Interactive Data Visualization Dashboard Analyze and visualize your data with customizable charts and tables Data Source Sample Dataset Upload Data Paste Data Chart Type Bar Chart Line Chart Pie Chart Scatter Plot Area Chart Time Range Last 7 Days Last 30 Days Last 90 Days Last Year All Time Update Generate Visualization Revenue Trends Zoom Download Category Distribution Zoom Download Regional Performance Zoom Download Customer Segments Zoom Download Data Summary Category Q1 Value Q2 Value Q3 Value Q4 Value Total % Change Product A $12,500 $15,300 $18,400 $22,600 $68,800 +14.2% Product B $8,200 $9,400 $11,300 $13,500 $42,400 +10.8% Product C $5,100 $6,800 $7,200 $9,400 $28,500 +16.5% Product D $9,300 $10,700 $12,500 $14,800 $47,300 +12.3% Export Data

Statistics & Data · 2025-04-05