Z-Score Calculator Using HTML, CSS and JavaScript with Source Code

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Welcome to the Z-Score Calculator – your go-to tool for fast, accurate statistical analysis! This interactive web app makes working with normal distributions effortless, whether you're a student tackling homework, a researcher analyzing data, or a professional making data-driven decisions. With just a few clicks, you can calculate Z-scores, probabilities, and percentiles while getting clear explanations of what your results mean in real-world terms.

Designed for both simplicity and depth, our calculator features a modern interface with intuitive controls, visual probability meters, and helpful examples to guide you. Toggle between light and dark mode for comfortable viewing, explore different calculation methods with our tab system, and click on common Z-score examples to see instant results. No more manual calculations or complex formulas – just reliable statistics made easy!

You may also check this simple HTML, CSS and JavaScript project:

Key Features:

Three Calculation Modes

  • Z-Score Calculator: Compute the standard score from raw data, mean, and standard deviation.

  • Probability Calculator: Find the probability of a value occurring below, above, or between Z-scores.

  • Percentile Calculator: Determine the percentile rank of a given Z-score.

Interactive & User-Friendly

  • Tab-based navigation for easy switching between calculation types.

  • Dynamic probability meter for visual representation of results.

  • Example values that can be clicked to auto-fill inputs.

Educational & Informative

  • Formula breakdown with explanations of each component.

  • Interpretation of results in plain language.

  • Common Z-score reference values for quick comparisons.

Modern UI & Customization

  • Dark/Light mode toggle for comfortable viewing.

  • Responsive design that works on both desktop and mobile devices.

  • Animated transitions for a smooth user experience.

Technologies Used:

  • HTML5 – Structure and content layout.

  • CSS3 – Styling, animations, and responsive design.

  • JavaScript – Dynamic calculations and interactivity.

  • Font Awesome – Icons for better UI clarity.

How to Use:

1. Calculating a Z-Score
Step 1: Enter the raw score (X).
Step 2: Input the mean (μ) of the distribution.
Step 3: Provide the standard deviation (σ).
Step 4: Click "Calculate Z-Score" to see the result along with an interpretation.

2. Finding Probability from a Z-Score
Step 1: Enter a Z-score.
Step 2: Choose a probability type:

  • Less than (P(Z < z))

  • Greater than (P(Z > z))

  • Between two Z-scores (if selected, enter a second Z-score)
    Step 3: Click "Calculate Probability" to view the result and a visual probability meter.

3. Determining Percentile from a Z-Score
Step 1: Enter a Z-score.
Step 2: Click "Calculate Percentile" to see the percentile rank and its interpretation.

Bonus: Quick Examples

Click on any of the predefined Z-score examples (e.g., Z = -2, Z = 1.5) to auto-fill the calculator and see immediate results.

Sample Screenshots of the Project

Landing Page (Z-Score)

Probability

Percentile

Other Infos/strong>

How to Run?

  • Download the provided source code zip file.
  • Extract the downloaded zip file.
  • Open the html file and you are now ready to go!

Video Demonstration for Installation/Setup:

Conclusion:

In conclusion, the Z-Score Calculator provides a seamless, user-friendly solution for all your statistical standardization needs, combining powerful calculations with an intuitive interface to make complex statistical concepts accessible to everyone. Whether you're working on academic research, professional data analysis, or simply exploring statistics, this tool delivers instant, accurate results with clear interpretations – transforming raw numbers into meaningful insights with just a few clicks.

That's it! I hope this "Z-Score Calculator Using HTML, CSS and JavaScript" will assist you on your  programming journey, providing value to your current and upcoming projects.

For additional tutorials and free source codes, explore our website.

Enjoy Coding :>>

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