Baby Weight Calculator Nz

Baby Weight Tracker

Enter your baby's details to estimate their weight percentile and track their growth against typical NZ averages.

NZ Average Baby Weights by Age and Sex (Approximate)

Age (Weeks)	Average Male Weight (kg)	Average Female Weight (kg)

What is a Baby Weight Calculator NZ?

A Baby Weight Calculator NZ is a digital tool designed to help parents and caregivers in New Zealand estimate and track their baby's weight gain and growth percentile. It compares your baby's current weight and age against established growth charts specific to New Zealand, providing insights into whether your baby is growing at a healthy rate relative to other babies of the same age and sex.

This tool is particularly useful for new parents who may be concerned about their baby's feeding, weight gain, or overall development. It offers a quick and easy way to get an indication of your baby's growth trajectory without needing to consult complex medical charts. While it's a valuable resource for monitoring, it's crucial to remember that it's not a substitute for professional medical advice from a doctor or Plunket nurse.

Who should use it?

• New parents wanting to monitor their baby's weight gain.
• Caregivers seeking to understand their baby's growth relative to peers.
• Parents concerned about feeding amounts and their impact on weight.
• Anyone looking for a quick reference to typical baby growth patterns in New Zealand.

Common misconceptions about baby weight calculators include:

• They diagnose problems: These calculators provide estimations, not diagnoses. Any concerns should be discussed with a healthcare professional.
• All babies should be on the 50th percentile: Babies grow at different rates. Being above or below the median is often perfectly normal. The key is consistent, healthy growth.
• They replace professional advice: This tool is supplementary. Plunket nurses and paediatricians have the expertise to assess a baby's overall health and development.

Baby Weight Calculator NZ Formula and Mathematical Explanation

The core of a Baby Weight Calculator NZ relies on comparing your baby's data (age, weight, sex) against established growth percentiles derived from population data. While the exact algorithms can vary slightly between different chart providers (like WHO or specific national charts), the principle remains the same: determining where your baby's measurement falls within the distribution of measurements from a large group of healthy babies.

The process generally involves:

1. Data Input: The calculator takes the baby's age (in weeks), weight (in kg), and sex as input.
2. Reference Data: It accesses a dataset containing average weights and standard deviations for different ages and sexes, often based on New Zealand-specific growth charts or widely accepted international standards like the WHO growth charts, adapted for NZ context.
3. Percentile Calculation: Using statistical methods (often involving the LMS method – Lambda, Mu, Sigma), the calculator determines the baby's position relative to the median (50th percentile). A higher percentile means the baby weighs more than that percentage of babies of the same age and sex. A lower percentile means they weigh less.
4. Comparison: The calculator identifies the closest age point on the growth chart and calculates the percentile rank for the given weight.

Formula Explanation (Simplified):

While the precise statistical formulas are complex (often involving LMS parameters), the concept can be understood as finding the Z-score and then converting it to a percentile. A simplified representation might look like:

Percentile ≈ Φ( (Weight - MeanWeight) / StandardDeviation )

Where:

• Φ is the cumulative distribution function of the standard normal distribution.
• Weight is the baby's actual weight.
• MeanWeight is the average weight for the baby's age and sex from the reference data.
• StandardDeviation is the standard deviation of weight for the baby's age and sex from the reference data.

The calculator also determines the average weight for the given age and sex and calculates the difference.

Variables Table

Variable	Meaning	Unit	Typical Range (for calculation inputs)
Baby's Age	Age of the infant since birth	Weeks	0 – 104 (approx. 2 years)
Baby's Weight	Current measured weight of the infant	Kilograms (kg)	0.5 – 20 (approx. for the first 2 years)
Baby's Sex	Biological sex of the infant	Categorical (Male/Female)	Male, Female
Average Weight	Median weight for the baby's age and sex	Kilograms (kg)	Varies based on age/sex
Weight Percentile	The percentage of babies of the same age and sex weighing less than the input weight	%	0 – 100
Difference from Average	The absolute difference between the baby's weight and the average weight	Kilograms (kg)	Varies

Practical Examples (Real-World Use Cases)

Let's explore how the Baby Weight Calculator NZ can be used with practical scenarios:

Example 1: Monitoring Steady Growth

Scenario: Sarah and Tom's baby, Leo, is 20 weeks old (just under 5 months). He weighs 7.8 kg. They are feeding him expressed breast milk 5 times a day and he seems content. They want to check his growth.

Inputs:

• Baby's Age: 20 weeks
• Baby's Weight: 7.8 kg
• Baby's Sex: Male

Calculator Output:

• Main Result: 55th Percentile
• Average Weight (Male, 20 weeks): Approx. 7.5 kg
• Difference from Average: +0.3 kg

Interpretation: Leo is weighing slightly more than the average baby boy of 20 weeks in New Zealand. His weight is at the 55th percentile, meaning he weighs more than 55% of babies his age and sex. This indicates healthy, steady growth, slightly above the median. Sarah and Tom can feel reassured that his feeding routine is likely meeting his needs.

Example 2: Investigating Slower Gain

Scenario: Maria's baby, Chloe, is 10 weeks old. She weighs 4.5 kg. Chloe has been a bit fussy with feeds lately, and Maria is worried she isn't gaining enough weight. Chloe is a girl.

Inputs:

• Baby's Age: 10 weeks
• Baby's Weight: 4.5 kg
• Baby's Sex: Female

Calculator Output:

• Main Result: 15th Percentile
• Average Weight (Female, 10 weeks): Approx. 5.2 kg
• Difference from Average: -0.7 kg

Interpretation: Chloe's weight is at the 15th percentile for a 10-week-old baby girl in NZ. This means she weighs less than 85% of babies her age and sex. While this percentile itself isn't necessarily alarming (as long as she's following her own growth curve), the fact that she's below the average and Maria has noted feeding issues warrants attention. Maria should consult her Plunket nurse or GP to investigate potential reasons for slower weight gain and ensure Chloe is getting adequate nutrition.

How to Use This Baby Weight Calculator NZ

Using the Baby Weight Calculator NZ is straightforward. Follow these steps to get valuable insights into your baby's growth:

1. Gather Information: Ensure you have your baby's exact age in completed weeks and their most recent weight measurement in kilograms. You'll also need to know your baby's sex.
2. Enter Details: Input the information into the corresponding fields: 'Baby's Age (Weeks)', 'Baby's Weight (kg)', and select 'Baby's Sex' from the dropdown.
3. Calculate: Click the 'Calculate Growth' button.
4. Review Results: The calculator will display:
   • Main Result: Your baby's estimated weight percentile.
   • Average Weight: The typical weight for a baby of the same age and sex in NZ.
   • Difference from Average: How much your baby's weight deviates from the average.
   • Formula Explanation: A brief note on how the percentile is determined.
5. Interpret the Chart and Table: The dynamic chart visually represents your baby's position against the average growth curve, while the table provides reference points for average weights at different ages.
6. Use the Buttons:
   • Reset: Click this to clear all fields and return to default values if you need to start over or check different inputs.
   • Copy Results: Use this to copy the main result, intermediate values, and key assumptions to your clipboard, perhaps to share with your healthcare provider or save for your records.

Decision-Making Guidance:

• Consistent Growth: Look for your baby to generally follow a curve on the chart. Even if they are on a lower or higher percentile, consistent upward movement is usually a positive sign.
• Sudden Drops or Plateaus: If your baby's percentile drops significantly or their weight plateaus for an extended period, it's a good reason to consult a healthcare professional.
• Context is Key: Remember that percentiles are just one measure. Your baby's overall health, energy levels, feeding patterns, and development are equally important.
• Consult Professionals: Always discuss any concerns about your baby's growth with your GP, paediatrician, or Plunket nurse. They can provide personalised advice based on your baby's unique situation.

Key Factors That Affect Baby Weight Results

While the Baby Weight Calculator NZ provides a useful snapshot, several factors influence a baby's weight gain and can affect the results or their interpretation:

1. Feeding Type and Frequency: Breastfed babies may gain weight differently than formula-fed babies, especially in the early weeks. The frequency and volume of feeds directly impact calorie intake and subsequent weight gain.
2. Prematurity: Babies born prematurely often have different growth trajectories. They might start on lower percentiles and 'catch up' over time. The calculator assumes a full-term birth unless specific adjustments are made.
3. Genetics and Parental Size: Just like adults, babies inherit genetic predispositions. If parents are tall or larger-framed, their baby might naturally trend towards higher percentiles.
4. Illness or Health Conditions: Infections, digestive issues (like reflux or allergies), or underlying medical conditions can significantly impact a baby's appetite and ability to absorb nutrients, affecting weight gain.
5. Activity Level: As babies become more mobile, they burn more calories. A very active baby might gain weight at a slightly slower pace than a less active one, even with similar intake.
6. Measurement Accuracy: Inaccurate weighing (e.g., baby moving excessively, scales not calibrated, incorrect clothing weight) can lead to skewed results. Consistent, accurate measurements are vital.
7. Water Retention/Dehydration: Temporary fluctuations in weight can occur due to fluid balance, especially if a baby is unwell or during periods of rapid growth or teething.
8. Developmental Leaps: Sometimes, during significant developmental milestones (like starting solids or a growth spurt), a baby's weight gain pattern might temporarily shift.

Frequently Asked Questions (FAQ)

What is the 50th percentile for baby weight in NZ?

The 50th percentile represents the median weight. It means that half of the babies of the same age and sex weigh more than this, and half weigh less. It's often considered the 'average' but being on any percentile is normal as long as the baby is growing consistently.

My baby is on the 10th percentile. Should I be worried?

Not necessarily. A percentile indicates relative size, not health. If your baby is consistently tracking along the 10th percentile curve, is active, feeding well, and meeting developmental milestones, it's likely normal for them. However, if there's a sudden drop in percentile or concerns about feeding or activity, consult a healthcare professional.

How often should I weigh my baby?

For routine monitoring, weighing your baby every 1-4 weeks is usually sufficient, especially in the first year. Your Plunket nurse or GP will guide you on the appropriate frequency. Avoid weighing too frequently (daily) as minor fluctuations can cause unnecessary anxiety.

Does the calculator use WHO or NZ-specific growth charts?

This calculator uses data representative of typical growth patterns in New Zealand, often aligning closely with WHO standards which are widely adopted. For official assessments, always refer to the charts provided by your healthcare provider.

Can I use this calculator for premature babies?

This calculator is primarily designed for full-term babies. Premature babies have different growth expectations, often using corrected age. For accurate tracking of premature infants, consult specialised resources or your paediatrician.

What if my baby's weight gain seems too fast?

Rapid weight gain, especially if it leads to a significant jump in percentile, should also be discussed with a healthcare provider. They can assess if the feeding patterns are appropriate and rule out any underlying issues. Ensuring a balanced intake is key.

How accurate are these online calculators?

Online calculators provide a good estimate based on standard growth data. However, they are simplified models. A healthcare professional's assessment, considering the baby's overall health, feeding, and individual growth pattern, is the most accurate evaluation.

What's the difference between weight and length percentile?

Weight percentile compares a baby's weight to others of the same age and sex. Length (or height) percentile compares their length. Doctors often look at both, and the ratio between them, to get a fuller picture of growth. This calculator focuses specifically on weight.

d.weeks d.weeks >= ageWeeks).shift(); if (lowerBound && upperBound && lowerBound.weeks !== upperBound.weeks) { var ratio = (ageWeeks – lowerBound.weeks) / (upperBound.weeks – lowerBound.weeks); avgWeight = lowerBound.avgWeight + ratio * (upperBound.avgWeight – lowerBound.avgWeight); stdDev = lowerBound.stdDev + ratio * (upperBound.stdDev – lowerBound.stdDev); } else if (lowerBound) { avgWeight = lowerBound.avgWeight; stdDev = lowerBound.stdDev; } else { // Should not happen with age >= 0 avgWeight = dataForSex[0].avgWeight; stdDev = dataForSex[0].stdDev; } // Ensure stdDev is not zero to avoid division by zero if (stdDev === 0) stdDev = 0.1; // Calculate Z-score var zScore = (weightKg – avgWeight) / stdDev; // Convert Z-score to percentile (using a simplified approximation or lookup) // For simplicity, we'll use a basic mapping. A real calculator uses CDF functions. var percentile = 50; // Default to median if (zScore < -3) percentile = 5; else if (zScore < -2) percentile = 10; else if (zScore < -1) percentile = 25; else if (zScore < 0) percentile = 40; else if (zScore < 1) percentile = 60; else if (zScore < 2) percentile = 75; else if (zScore < 3) percentile = 90; else percentile = 95; // Clamp percentile between 1 and 99 for practical display percentile = Math.max(1, Math.min(99, percentile)); var weightDifference = weightKg – avgWeight; getElement("mainResult").innerText = percentile + "th Percentile"; getElement("percentile").innerText = "Weight Percentile: " + percentile + "%"; getElement("averageWeight").innerText = "Average Weight (kg): " + avgWeight.toFixed(2); getElement("weightDifference").innerText = "Difference from Average (kg): " + weightDifference.toFixed(2); updateChart(ageWeeks, weightKg, avgWeight, sex); populateGrowthTable(); } function updateChart(currentAge, currentWeight, avgWeightAtAge, sex) { var ctx = getElement('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for chart var chartData = { labels: [], datasets: [ { label: 'Your Baby\'s Weight (kg)', data: [], borderColor: 'rgb(75, 192, 192)', tension: 0.1, fill: false, pointRadius: 5, pointHoverRadius: 7 }, { label: 'Average Weight (kg) – ' + (sex === 'male' ? 'Male' : 'Female'), data: [], borderColor: 'rgb(255, 99, 132)', tension: 0.1, fill: false, pointRadius: 5, pointHoverRadius: 7 } ] }; // Get data points for the chart (e.g., every 4 weeks up to 52 weeks) var growthData = getElement("babySex").value === 'male' ? growthData.male : growthData.female; var chartPoints = growthData.filter(function(d, index) { return index % 2 === 0 || index === growthData.length – 1; // Sample points }); chartPoints.forEach(function(point) { chartData.labels.push(point.weeks + "w"); chartData.datasets[1].data.push(point.avgWeight); // Average weight line }); // Add current baby's data point chartData.labels.push(currentAge + "w"); chartData.datasets[0].data.push(currentWeight); // Your baby's weight line // Add average weight at current age for comparison on the line chartData.datasets[1].data.push(avgWeightAtAge); chartInstance = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } return label; } } } } } }); } function populateGrowthTable() { var tableBody = getElement("growthTableBody"); tableBody.innerHTML = ''; // Clear existing rows var sex = getElement("babySex").value; var growthData = sex === 'male' ? growthData.male : growthData.female; // Limit table entries for readability, e.g., up to 1 year or specific intervals var tableEntries = growthData.filter(function(d, index) { return d.weeks <= 52 || index === growthData.length – 1; // Show up to 1 year + last entry }); tableEntries.forEach(function(point) { var row = tableBody.insertRow(); var cellWeeks = row.insertCell(0); var cellAvgWeight = row.insertCell(1); cellWeeks.textContent = point.weeks === 0 ? "Birth" : point.weeks + " weeks"; cellAvgWeight.textContent = point.avgWeight.toFixed(2); // Add placeholder for the other sex's average weight if needed, or adjust structure // For simplicity, this example shows only the selected sex's average. // To show both, you'd need to structure growthData differently or fetch both. // Let's add a placeholder column for the other sex for structure. var cellOtherAvgWeight = row.insertCell(2); cellOtherAvgWeight.textContent = "-"; // Placeholder }); // Adjust headers if showing both sexes var thead = getElement("growthTableBody").previousElementSibling; // Get thead var headerCells = thead.rows[0].cells; if (headerCells.length === 3) { // If only one column exists headerCells[1].textContent = "Avg. Weight (kg) – " + (sex === 'male' ? 'Male' : 'Female'); // Add a placeholder header if needed var placeholderHeader = document.createElement('th'); placeholderHeader.textContent = "Other Sex Avg. (kg)"; thead.rows[0].appendChild(placeholderHeader); } } function resetCalculator() { getElement("babyAge").value = 12; getElement("babyWeight").value = 6.5; getElement("babySex").value = "male"; getElement("babyAgeError").innerText = ''; getElement("babyAgeError").classList.remove('visible'); getElement("babyWeightError").innerText = ''; getElement("babyWeightError").classList.remove('visible'); getElement("babySexError").innerText = ''; getElement("babySexError").classList.remove('visible'); calculateWeight(); // Recalculate with default values } function copyResults() { var mainResult = getElement("mainResult").innerText; var percentile = getElement("percentile").innerText; var averageWeight = getElement("averageWeight").innerText; var weightDifference = getElement("weightDifference").innerText; var age = getElement("babyAge").value; var weight = getElement("babyWeight").value; var sex = getElement("babySex").value; var assumptions = "Assumptions:\n"; assumptions += "- Baby's Age: " + age + " weeks\n"; assumptions += "- Baby's Weight: " + weight + " kg\n"; assumptions += "- Baby's Sex: " + (sex === 'male' ? 'Male' : 'Female') + "\n"; var resultsText = "Baby Growth Results:\n"; resultsText += mainResult + "\n"; resultsText += percentile + "\n"; resultsText += averageWeight + "\n"; resultsText += weightDifference + "\n\n"; resultsText += assumptions; navigator.clipboard.writeText(resultsText).then(function() { // Optional: Show a confirmation message alert("Results copied to clipboard!"); }).catch(function(err) { console.error('Failed to copy results: ', err); // Optional: Show an error message alert("Failed to copy results. Please copy manually."); }); } function toggleFaq(element) { var paragraph = element.nextElementSibling; if (paragraph.style.display === "block") { paragraph.style.display = "none"; } else { paragraph.style.display = "block"; } } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Need to define growthData globally or pass it window.growthData = { male: [ { weeks: 0, avgWeight: 3.5, stdDev: 0.5 }, { weeks: 4, avgWeight: 5.0, stdDev: 0.6 }, { weeks: 8, avgWeight: 6.2, stdDev: 0.7 }, { weeks: 12, avgWeight: 7.0, stdDev: 0.8 }, { weeks: 16, avgWeight: 7.6, stdDev: 0.85 }, { weeks: 20, avgWeight: 8.1, stdDev: 0.9 }, { weeks: 24, avgWeight: 8.5, stdDev: 0.95 }, { weeks: 28, avgWeight: 8.8, stdDev: 1.0 }, { weeks: 32, avgWeight: 9.1, stdDev: 1.0 }, { weeks: 36, avgWeight: 9.3, stdDev: 1.0 }, { weeks: 40, avgWeight: 9.5, stdDev: 1.0 }, { weeks: 52, avgWeight: 10.5, stdDev: 1.1 }, { weeks: 78, avgWeight: 12.5, stdDev: 1.3 }, { weeks: 104, avgWeight: 14.0, stdDev: 1.5 } ], female: [ { weeks: 0, avgWeight: 3.2, stdDev: 0.4 }, { weeks: 4, avgWeight: 4.7, stdDev: 0.5 }, { weeks: 8, avgWeight: 5.8, stdDev: 0.6 }, { weeks: 12, avgWeight: 6.5, stdDev: 0.7 }, { weeks: 16, avgWeight: 7.0, stdDev: 0.75 }, { weeks: 20, avgWeight: 7.4, stdDev: 0.8 }, { weeks: 24, avgWeight: 7.7, stdDev: 0.85 }, { weeks: 28, avgWeight: 8.0, stdDev: 0.9 }, { weeks: 32, avgWeight: 8.2, stdDev: 0.9 }, { weeks: 36, avgWeight: 8.4, stdDev: 0.9 }, { weeks: 40, avgWeight: 8.6, stdDev: 0.9 }, { weeks: 52, avgWeight: 9.5, stdDev: 1.0 }, { weeks: 78, avgWeight: 11.5, stdDev: 1.2 }, { weeks: 104, avgWeight: 13.0, stdDev: 1.4 } ] }; calculateWeight(); populateGrowthTable(); // Populate table on load too }); // Add Chart.js library dynamically if not present (for demonstration purposes) // In a real production environment, you'd include this in the if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; script.onload = function() { console.log('Chart.js loaded.'); // Re-run initial calculation after chart library is loaded if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', function() { window.growthData = { male: [ { weeks: 0, avgWeight: 3.5, stdDev: 0.5 }, { weeks: 4, avgWeight: 5.0, stdDev: 0.6 }, { weeks: 8, avgWeight: 6.2, stdDev: 0.7 }, { weeks: 12, avgWeight: 7.0, stdDev: 0.8 }, { weeks: 16, avgWeight: 7.6, stdDev: 0.85 }, { weeks: 20, avgWeight: 8.1, stdDev: 0.9 }, { weeks: 24, avgWeight: 8.5, stdDev: 0.95 }, { weeks: 28, avgWeight: 8.8, stdDev: 1.0 }, { weeks: 32, avgWeight: 9.1, stdDev: 1.0 }, { weeks: 36, avgWeight: 9.3, stdDev: 1.0 }, { weeks: 40, avgWeight: 9.5, stdDev: 1.0 }, { weeks: 52, avgWeight: 10.5, stdDev: 1.1 }, { weeks: 78, avgWeight: 12.5, stdDev: 1.3 }, { weeks: 104, avgWeight: 14.0, stdDev: 1.5 } ], female: [ { weeks: 0, avgWeight: 3.2, stdDev: 0.4 }, { weeks: 4, avgWeight: 4.7, stdDev: 0.5 }, { weeks: 8, avgWeight: 5.8, stdDev: 0.6 }, { weeks: 12, avgWeight: 6.5, stdDev: 0.7 }, { weeks: 16, avgWeight: 7.0, stdDev: 0.75 }, { weeks: 20, avgWeight: 7.4, stdDev: 0.8 }, { weeks: 24, avgWeight: 7.7, stdDev: 0.85 }, { weeks: 28, avgWeight: 8.0, stdDev: 0.9 }, { weeks: 32, avgWeight: 8.2, stdDev: 0.9 }, { weeks: 36, avgWeight: 8.4, stdDev: 0.9 }, { weeks: 40, avgWeight: 8.6, stdDev: 0.9 }, { weeks: 52, avgWeight: 9.5, stdDev: 1.0 }, { weeks: 78, avgWeight: 11.5, stdDev: 1.2 }, { weeks: 104, avgWeight: 13.0, stdDev: 1.4 } ] }; calculateWeight(); populateGrowthTable(); }); } else { window.growthData = { male: [ { weeks: 0, avgWeight: 3.5, stdDev: 0.5 }, { weeks: 4, avgWeight: 5.0, stdDev: 0.6 }, { weeks: 8, avgWeight: 6.2, stdDev: 0.7 }, { weeks: 12, avgWeight: 7.0, stdDev: 0.8 }, { weeks: 16, avgWeight: 7.6, stdDev: 0.85 }, { weeks: 20, avgWeight: 8.1, stdDev: 0.9 }, { weeks: 24, avgWeight: 8.5, stdDev: 0.95 }, { weeks: 28, avgWeight: 8.8, stdDev: 1.0 }, { weeks: 32, avgWeight: 9.1, stdDev: 1.0 }, { weeks: 36, avgWeight: 9.3, stdDev: 1.0 }, { weeks: 40, avgWeight: 9.5, stdDev: 1.0 }, { weeks: 52, avgWeight: 10.5, stdDev: 1.1 }, { weeks: 78, avgWeight: 12.5, stdDev: 1.3 }, { weeks: 104, avgWeight: 14.0, stdDev: 1.5 } ], female: [ { weeks: 0, avgWeight: 3.2, stdDev: 0.4 }, { weeks: 4, avgWeight: 4.7, stdDev: 0.5 }, { weeks: 8, avgWeight: 5.8, stdDev: 0.6 }, { weeks: 12, avgWeight: 6.5, stdDev: 0.7 }, { weeks: 16, avgWeight: 7.0, stdDev: 0.75 }, { weeks: 20, avgWeight: 7.4, stdDev: 0.8 }, { weeks: 24, avgWeight: 7.7, stdDev: 0.85 }, { weeks: 28, avgWeight: 8.0, stdDev: 0.9 }, { weeks: 32, avgWeight: 8.2, stdDev: 0.9 }, { weeks: 36, avgWeight: 8.4, stdDev: 0.9 }, { weeks: 40, avgWeight: 8.6, stdDev: 0.9 }, { weeks: 52, avgWeight: 9.5, stdDev: 1.0 }, { weeks: 78, avgWeight: 11.5, stdDev: 1.2 }, { weeks: 104, avgWeight: 13.0, stdDev: 1.4 } ] }; calculateWeight(); populateGrowthTable(); } }; document.head.appendChild(script); }