Birth Weight Percentile Calculator Cdc

Birth Weight Percentile Calculator CDC – Calculate Your Baby's Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-top: 20px; padding-bottom: 40px; } .container { width: 100%; max-width: 960px; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin: 0 auto; box-sizing: border-box; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; margin-top: 30px; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; } h3 { font-size: 1.4em; margin-top: 25px; } .calculator-section { background-color: var(–card-background); 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Birth Weight Percentile Calculator CDC

Understand your baby's growth relative to other newborns using CDC growth charts.

Birth Weight Percentile Calculator

Enter the baby's age in completed weeks (e.g., 39 weeks and 4 days = 39).
Enter the baby's weight in grams (g).
Female Male Select the baby's sex.

Your Baby's Birth Weight Percentile

Weight for Gestational Age: g
Estimated Mean: g
Standard Deviation: g
Assumed Sex:
Calculated Gestational Age: weeks
Formula based on CDC 2000 growth charts. Percentiles are approximate.

Birth Weight Percentile Chart (Approximate)

This chart shows approximate birth weight percentiles for the selected sex and gestational age. The red line represents the 50th percentile (median), and the shaded areas represent standard deviations.
CDC Recommended Birth Weight Ranges (Approximate)
Gestational Age (Weeks) Female (Approx. 3rd-97th Percentile) Male (Approx. 3rd-97th Percentile)
37 2300g – 4200g 2400g – 4300g
38 2400g – 4300g 2500g – 4400g
39 2500g – 4400g 2600g – 4500g
40 2600g – 4500g 2700g – 4600g
41 2650g – 4550g 2750g – 4650g
42 2700g – 4600g 2800g – 4700g

What is Birth Weight Percentile?

A birth weight percentile is a way to measure a baby's weight compared to other babies of the same gestational age and sex. It helps healthcare providers assess whether a baby's size at birth is appropriate for how long they were in the womb. For instance, a baby in the 50th percentile for birth weight means they weigh more than 50% of babies of the same age and sex, and less than 50%. A baby in the 10th percentile weighs less than 90% of their peers. Understanding these percentiles is crucial for monitoring infant health and development.

Who should use it? This calculator is primarily for parents, expectant parents, and healthcare professionals (pediatricians, obstetricians, nurses) who want to quickly estimate a baby's birth weight percentile based on provided data. It serves as an educational tool to understand growth patterns.

Common misconceptions about birth weight percentiles include believing that a low percentile automatically means a health problem or that a high percentile is always ideal. While significant deviations can indicate potential issues, percentiles are just one data point. Many healthy babies fall into lower or higher percentiles. The focus is on appropriate growth for gestational age.

Birth Weight Percentile Formula and Mathematical Explanation

Calculating the exact birth weight percentile involves complex statistical modeling based on large datasets, typically using methods like the LMS (Lambda-Mu-Sigma) method, which is employed by the CDC. These methods model the 3rd, 5th, 50th (median), 95th, and 97th percentiles using three parameters (L, M, S) that vary with age.

For practical purposes and simpler calculators, an approximation can be made using standard deviation units (Z-scores) relative to the mean and standard deviation for a given age and sex. The formula to calculate a Z-score is:

Z = (X - M) / S

Where:

  • X is the baby's actual birth weight.
  • M is the mean (average) birth weight for that specific gestational age and sex.
  • S is the standard deviation of birth weight for that specific gestational age and sex.

Once the Z-score is calculated, it can be converted into a percentile using a standard normal distribution table or function. A higher Z-score corresponds to a higher percentile.

The CDC growth charts provide smoothed curves for M and S (often represented as L, M, S parameters) across gestational ages. This calculator uses simplified approximations derived from these charts.

Variables Table

Variable Meaning Unit Typical Range
Gestational Age (GA) Age of the baby in completed weeks from the last menstrual period. Weeks 20 – 44 weeks
Birth Weight (BW) The baby's weight measured at birth. Grams (g) 500g – 5000g (approx.)
Sex Biological sex of the baby (Male or Female). Categorical Male / Female
Percentile The baby's weight rank compared to peers of the same GA and sex. % 0 – 100%
Mean (M) Average birth weight for a specific GA and sex. Grams (g) Varies significantly with GA
Standard Deviation (S) Measure of the spread or variability of birth weights around the mean. Grams (g) Varies significantly with GA

Practical Examples (Real-World Use Cases)

Let's illustrate with two examples using the birth weight percentile calculator:

Example 1: Full-Term Healthy Baby Girl

  • Inputs:
  • Gestational Age: 40 weeks
  • Birth Weight: 3600 grams
  • Sex: Female
  • Calculation: The calculator determines that this baby girl is approximately in the 60th percentile for birth weight at 40 weeks gestation.
  • Interpretation: This means she weighs more than 60% of full-term baby girls born at 40 weeks. This is considered a healthy, average weight for her gestational age.

Example 2: Premature Baby Boy

  • Inputs:
  • Gestational Age: 30 weeks
  • Birth Weight: 1200 grams
  • Sex: Male
  • Calculation: The calculator estimates this baby boy to be around the 25th percentile for birth weight at 30 weeks gestation.
  • Interpretation: This indicates that the baby weighs more than 25% of male infants born at 30 weeks gestation. While not extremely low, it suggests he is on the smaller side for his gestational age, which warrants close monitoring by healthcare providers. This might prompt further investigation into potential causes like placental insufficiency or maternal health factors.

How to Use This Birth Weight Percentile Calculator CDC

Using the birth weight percentile calculator is straightforward. Follow these steps to get an accurate assessment of your baby's growth:

  1. Enter Gestational Age: Input the baby's age in completed weeks. For example, if the baby was born at 39 weeks and 5 days, enter '39'.
  2. Enter Birth Weight: Provide the baby's weight in grams (g) as measured at birth. Ensure you use grams, not pounds or kilograms, for accuracy.
  3. Select Sex: Choose 'Male' or 'Female' from the dropdown menu. This is important as growth charts differ between sexes.
  4. Calculate: Click the "Calculate Percentile" button.

How to read results: The calculator will display:

  • Primary Result: The estimated birth weight percentile (e.g., "60th Percentile").
  • Intermediate Values: Weight for Gestational Age, Estimated Mean, and Standard Deviation, providing context for the percentile.
  • Key Assumptions: The sex and gestational age used in the calculation.
The accompanying chart visually represents where the baby's weight falls relative to the CDC growth curves.

Decision-making guidance: A birth weight percentile is a screening tool, not a diagnosis.

  • Average Range (e.g., 10th to 90th percentile): Generally considered normal growth for gestational age.
  • Low Percentile (e.g., below 10th): May indicate Intrauterine Growth Restriction (IUGR) or Small for Gestational Age (SGA). This warrants discussion with a pediatrician to rule out underlying issues and monitor development.
  • High Percentile (e.g., above 90th): May indicate Large for Gestational Age (LGA), potentially linked to maternal diabetes or genetic factors. This can sometimes pose risks during delivery.
Always consult with a healthcare professional for personalized advice regarding your baby's growth and health. This tool is for informational purposes only.

Key Factors That Affect Birth Weight Percentile Results

Several factors influence a baby's birth weight and, consequently, their percentile. Understanding these can provide a more complete picture:

  • Gestational Age: This is the most significant factor. Babies born earlier (premature) naturally have lower birth weights and percentiles than those born full-term or post-term.
  • Maternal Health and Nutrition: The mother's health during pregnancy plays a vital role. Conditions like gestational diabetes can lead to larger babies (higher percentile), while poor maternal nutrition or chronic illnesses might result in smaller babies (lower percentile).
  • Genetics: Parental height and build can influence fetal growth. If parents are tall, the baby might naturally be larger.
  • Placental Function: A well-functioning placenta delivers adequate nutrients and oxygen. Problems with placental function can restrict fetal growth, leading to a lower birth weight percentile.
  • Multiple Births: Twins, triplets, or more often share uterine space and resources, typically resulting in lower birth weights and percentiles compared to singletons.
  • Sex of the Baby: As seen in the charts and calculator, males tend to be slightly heavier on average than females at the same gestational age, affecting their respective percentiles.
  • Maternal Lifestyle Factors: Smoking, alcohol consumption, and drug use during pregnancy are strongly associated with lower birth weights and increased risk of SGA.
  • Previous Birth Outcomes: A history of delivering SGA or LGA babies can sometimes indicate underlying maternal or fetal factors that might influence subsequent pregnancies.

Frequently Asked Questions (FAQ)

What is the difference between SGA and LGA?
SGA stands for Small for Gestational Age, typically defined as a birth weight below the 10th percentile for gestational age and sex. LGA stands for Large for Gestational Age, defined as a birth weight above the 90th percentile for gestational age and sex.
Does a low birth weight percentile always mean a problem?
Not necessarily. While a low percentile (SGA) can be associated with health risks and developmental issues, many babies are constitutionally small but otherwise healthy. It's a flag for healthcare providers to investigate further and monitor the baby closely.
Can birth weight percentile change after birth?
The birth weight percentile specifically refers to the weight at the time of birth. After birth, babies continue to grow, and their weight percentile might change as they catch up or continue on their growth trajectory. Pediatricians use growth charts for infants and children to track this post-birth growth.
How accurate are these online calculators?
Online calculators like this one provide estimates based on CDC data and standard formulas. They are generally accurate for informational purposes. However, the official CDC growth charts and interpretations by healthcare professionals are the definitive sources. Slight variations can occur due to the specific algorithms used.
What is the ideal birth weight percentile?
There isn't one single "ideal" percentile. The goal is for the baby to be appropriately grown for their gestational age. The range between the 10th and 90th percentiles is generally considered appropriate. The focus is on healthy growth trajectory rather than a specific number.
Does prematurity affect the percentile calculation?
Yes, prematurity is a key factor. The calculator uses gestational age to compare the baby's weight against others born at the same stage of development. A premature baby will naturally have a lower weight and percentile compared to a full-term baby.
Can I use pounds and ounces instead of grams?
This specific calculator requires input in grams for accuracy, as the underlying CDC data and formulas are based on metric units. You would need to convert your baby's weight from pounds/ounces to grams before entering it. (1 lb ≈ 453.592g, 1 oz ≈ 28.3495g).
What are the CDC growth charts based on?
The CDC (Centers for Disease Control and Prevention) growth charts are based on data collected from large national surveys of children in the United States. For birth weight, they utilize data from specific birth cohorts, aiming to represent the typical growth patterns of healthy infants.

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your child's health.

var chartInstance = null; // Global variable to hold chart instance function getApproximateLMS(gestationalAge, sex) { // Simplified approximations based on CDC data patterns // These are NOT exact LMS values but provide reasonable estimates for calculation var m = 0, s = 0; var ga = parseFloat(gestationalAge); var isMale = parseInt(sex) === 0; if (ga = 24 && ga 40) { m *= 1.02; s *= 1.05; } } else { // Beyond typical range m = 3500 + (ga – 40) * 50; s = 300 + (ga – 40) * 20; } // Ensure minimum values m = Math.max(m, 500); s = Math.max(s, 50); return { mean: m, stdDev: s }; } function calculateZScore(weight, mean, stdDev) { if (stdDev === 0) return 0; return (weight – mean) / stdDev; } function zScoreToPercentile(z) { // Approximation using a standard normal distribution function (error function based) // This is a simplified approximation. More accurate methods exist. var erf = function(x) { var a1 = 0.254829592; var a2 = -0.284496736; var a3 = 1.421413741; var a4 = -1.453152027; var a5 = 1.061405429; var p = 0.3275911; var sign = (x < 0) ? -1 : 1; x = Math.abs(x); var t = 1.0 / (1.0 + p * x); var y = 1.0 – (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * Math.exp(-x * x); return sign * y; }; var percentile = 0.5 * (1 + erf(z / Math.sqrt(2))); return percentile * 100; } function calculatePercentile() { var gestationalAgeInput = document.getElementById("gestationalAge"); var birthWeightInput = document.getElementById("birthWeight"); var sexInput = document.getElementById("sex"); var gestationalAge = parseFloat(gestationalAgeInput.value); var birthWeight = parseFloat(birthWeightInput.value); var sex = sexInput.value; var gaError = document.getElementById("gestationalAgeError"); var bwError = document.getElementById("birthWeightError"); var sexError = document.getElementById("sexError"); // Though select, good practice // Reset errors gaError.style.display = 'none'; bwError.style.display = 'none'; sexError.style.display = 'none'; var isValid = true; if (isNaN(gestationalAge) || gestationalAge 44) { gaError.textContent = "Please enter a valid gestational age between 20 and 44 weeks."; gaError.style.display = 'block'; isValid = false; } if (isNaN(birthWeight) || birthWeight <= 0) { bwError.textContent = "Please enter a valid birth weight greater than 0 grams."; bwError.style.display = 'block'; isValid = false; } // Sex is a select, so it's always valid if rendered correctly if (!isValid) { document.getElementById("results").style.display = 'none'; return; } var lms = getApproximateLMS(gestationalAge, sex); var mean = lms.mean; var stdDev = lms.stdDev; var zScore = calculateZScore(birthWeight, mean, stdDev); var percentile = zScoreToPercentile(zScore); // Clamp percentile to 0-100 range percentile = Math.max(0, Math.min(100, percentile)); document.getElementById("weightForAge").textContent = birthWeight.toFixed(0); document.getElementById("estimatedMean").textContent = mean.toFixed(0); document.getElementById("standardDeviation").textContent = stdDev.toFixed(0); document.getElementById("assumedSex").textContent = sex === "1" ? "Female" : "Male"; document.getElementById("calculatedGA").textContent = gestationalAge.toFixed(0); document.getElementById("mainResult").textContent = percentile.toFixed(1) + "th Percentile"; document.getElementById("results").style.display = 'block'; updateChart(gestationalAge, birthWeight, sex, percentile, mean, stdDev); } function updateChart(ga, bw, sex, percentile, mean, stdDev) { var ctx = document.getElementById('percentileChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Generate data points for the chart curves var labels = []; var data50th = []; // Median (50th percentile) var data3rd = []; // 3rd percentile var data97th = []; // 97th percentile var dataBaby = []; // Baby's weight point var startGA = Math.max(20, ga – 5); var endGA = Math.min(44, ga + 5); for (var i = startGA; i <= endGA; i++) { labels.push(i + 'w'); var lms = getApproximateLMS(i, sex); var meanVal = lms.mean; var stdDevVal = lms.stdDev; // Calculate 3rd and 97th percentiles using Z-scores (-1.88 for ~3rd, 1.88 for ~97th) var z3rd = -1.88; var z97th = 1.88; data3rd.push(meanVal + z3rd * stdDevVal); data97th.push(meanVal + z97th * stdDevVal); data50th.push(meanVal); // 50th percentile is the mean in a normal distribution } // Add the baby's specific point dataBaby.push({ x: ga + 'w', y: bw }); chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [{ label: '50th Percentile (Median)', data: data50th, borderColor: 'rgba(255, 99, 132, 1)', // Red backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 0 // Hide points on the line }, { label: '3rd Percentile', data: data3rd, borderColor: 'rgba(54, 162, 235, 0.6)', // Blue backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: '-1', // Fill between this and previous dataset (97th) tension: 0.1, pointRadius: 0 }, { label: '97th Percentile', data: data97th, borderColor: 'rgba(75, 192, 192, 0.6)', // Green backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: '-1', // Fill between this and previous dataset (50th) tension: 0.1, pointRadius: 0 }, { label: 'Baby\'s Weight', data: dataBaby, borderColor: 'rgba(255, 206, 86, 1)', // Yellow backgroundColor: 'rgba(255, 206, 86, 1)', fill: false, tension: 0, pointRadius: 6, // Make baby's point visible pointHoverRadius: 8 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (grams)' }, beginAtZero: false // Start y-axis near the lowest data point } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(0) + 'g'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById("gestationalAge").value = "40"; document.getElementById("birthWeight").value = "3500"; document.getElementById("sex").value = "1"; // Female default document.getElementById("gestationalAgeError").textContent = ""; document.getElementById("gestationalAgeError").style.display = 'none'; document.getElementById("birthWeightError").textContent = ""; document.getElementById("birthWeightError").style.display = 'none'; document.getElementById("sexError").textContent = ""; document.getElementById("sexError").style.display = 'none'; document.getElementById("results").style.display = 'none'; if (chartInstance) { chartInstance.destroy(); // Clear the chart chartInstance = null; } // Optionally, call calculatePercentile() to show default results calculatePercentile(); } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var weightForAge = document.getElementById("weightForAge").textContent; var estimatedMean = document.getElementById("estimatedMean").textContent; var standardDeviation = document.getElementById("standardDeviation").textContent; var assumedSex = document.getElementById("assumedSex").textContent; var calculatedGA = document.getElementById("calculatedGA").textContent; var assumptions = "Assumptions:\n"; assumptions += "- Sex: " + assumedSex + "\n"; assumptions += "- Gestational Age: " + calculatedGA + " weeks\n"; var resultsText = "Birth Weight Percentile Results:\n"; resultsText += "———————————-\n"; resultsText += "Main Result: " + mainResult + "\n"; resultsText += "Weight for Gestational Age: " + weightForAge + " g\n"; resultsText += "Estimated Mean Weight: " + estimatedMean + " g\n"; resultsText += "Standard Deviation: " + standardDeviation + " g\n"; resultsText += "\n" + assumptions; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(resultsText); // Fallback for older browsers }); } else { fallbackCopyTextToClipboard(resultsText); // Fallback for older browsers } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } function toggleFaq(element) { var answer = element.nextElementSibling; var isHidden = answer.style.display === 'none' || answer.style.display === ''; // Close all other answers first var allAnswers = document.querySelectorAll('.faq-answer'); allAnswers.forEach(function(ans) { if (ans !== answer) { ans.style.display = 'none'; ans.previousElementSibling.style.fontWeight = 'bold'; // Reset style } }); // Toggle the clicked answer if (isHidden) { answer.style.display = 'block'; element.style.fontWeight = 'bold'; // Make question bold when open } else { answer.style.display = 'none'; element.style.fontWeight = 'normal'; // Reset style } } // Initial calculation on page load with default values window.onload = function() { // Ensure Chart.js is loaded before attempting to use it if (typeof Chart === 'undefined') { console.error("Chart.js library is not loaded. Please include it in your HTML."); // Optionally display a message to the user document.querySelector('.chart-container').innerHTML = 'Chart could not be loaded. Please ensure Chart.js is included.'; return; } calculatePercentile(); };

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