Updated Random & Probability

Random Number Generator

Generate random numbers, decimals, lists, choices, dates, times, and colors with one flexible multi-tool random generator.

Random Integers Multiple Values Shuffle & Picker Date, Time & Color

All-in-One Random Number Generator

Select a mode to generate random integers, decimals, multiple values, shuffled lists, random choices, datetime values, or colors.

Generates a uniform random integer between the minimum and maximum values, inclusive.

If duplicates are not allowed, quantity cannot exceed the size of the range.

Generates a uniform random real number between the minimum and maximum values.

Randomly rearranges the order of the items in your list.

Useful for random decisions, games, and drawing names.

If no dates are selected, today is used as both start and end.

Use random colors for design inspiration, themes, and UI experiments.

Random Number Generator – Generate Secure & Fair Random Numbers Online

The Random Number Generator on MyTimeCalculator lets you generate one or many random numbers instantly within any range you choose. You can create a single random integer, a list of unique numbers, random decimal values, or simulate events like coin flips and dice rolls. It’s perfect for math practice, classroom activities, gaming, simulations, sampling, and everyday decision making.

Instead of shuffling physical cards, rolling dice repeatedly, or writing ad-hoc scripts, you simply choose your minimum and maximum values, select how many random numbers you want, decide whether duplicates are allowed, and click the generate button. The Random Number Generator then produces unbiased results based on a pseudo-random algorithm.

Behind the scenes, the tool uses a deterministic pseudo-random number generator (PRNG) that produces numbers which are statistically random for most everyday uses. While this type of generator is not meant for high-security cryptographic purposes, it is more than sufficient for math problems, simulations, games, and non-sensitive selections.

1. What Is a Random Number Generator?

A random number generator (RNG) is a process or tool that produces a sequence of numbers where each value is unpredictable and follows a uniform distribution within a defined range. In other words, every number in the range has an equal chance of being selected.

There are two broad categories of random number generators:

  • True random number generators (TRNGs): rely on physical processes such as thermal noise or radioactive decay.
  • Pseudo-random number generators (PRNGs): algorithms that produce sequences that behave like random numbers, but start from a seed.

The Random Number Generator on MyTimeCalculator is a PRNG-based tool optimized for speed, convenience, and reproducibility. For most educational, recreational, and everyday tasks, this level of randomness is more than adequate.

Single Random Number (Default Mode)

In this mode, you specify a minimum and maximum value (for example, 1 to 100), and the Random Number Generator returns one random integer within that inclusive range.

  • Choose Min (e.g., 1)
  • Choose Max (e.g., 100)
  • Click “Generate” → get one random integer between 1 and 100

This is ideal for quick picks like “choose a number between 1 and 10” or selecting a random page, row, or student number.

Multiple Random Numbers

Sometimes you need more than one random value—such as drawing multiple winners, generating a lottery sample, or filling a list with random IDs. In this mode, you can:

  • Set Min and Max
  • Specify how many numbers to generate
  • Choose whether numbers can repeat (allow duplicates) or must be unique

When uniqueness is required, the tool ensures no number appears twice until the pool is exhausted.

Random Decimal / Floating-Point Numbers

For simulations, probability experiments, or continuous ranges, you may need random decimals instead of integers. This mode allows you to:

  • Generate random decimals between a and b (e.g., 0.0 to 1.0 or 1.5 to 7.25)
  • Choose the number of decimal places for rounding
  • Return a single value or multiple decimal values

This is useful in statistics, Monte Carlo simulations, and any model that expects random real-valued inputs.

Dice Rolls & Coin Flips

The Random Number Generator can also simulate common random events:

  • Coin flip: Heads or Tails (1 or 2)
  • Single die: 1 to 6
  • Multiple dice: several values between 1 and 6

This is ideal for board games, tabletop RPGs, classroom probability lessons, and quick decision-making when you do not have physical dice or coins available.

Random Choice from Custom Lists

In a list-based mode, instead of numeric ranges you can enter your own items—such as names, tasks, or options— and the generator will randomly pick one or more entries. For example:

  • Student names for cold calling
  • Options for “what should we eat today?”
  • Random tasks for a game or challenge

Internally, the tool assigns each list item an index and selects a random index using the same core RNG engine.

2. How the Random Number Generator Works

The Random Number Generator uses a pseudo-random number generator algorithm to produce values that are uniformly distributed across your chosen range. While the exact implementation may vary, the process typically looks like this:

  1. Start with a seed: an initial value that starts the pseudo-random sequence.
  2. Use a recurrence formula: apply a function that transforms the seed into a new value.
  3. Scale to [0,1): divide by a large constant to get a uniform real number between 0 and 1.
  4. Map to your range: transform the result to your desired [min, max] interval.
  5. Round/form: convert the mapped result to an integer or decimal with specific precision.

For example, if a raw RNG output produces a uniform value u between 0 and 1, mapping to an integer range [a, b] works like this:

randomInteger = a + ⌊u × (b − a + 1)⌋

This ensures every integer from a to b has equal probability. For decimals, the tool skips the floor operation and instead rounds to the specified number of decimal places.

3. Inclusive vs Exclusive Ranges

When working with random numbers, it is important to be clear about whether the range boundaries are inclusive or exclusive:

  • Inclusive: [min, max] means both endpoints can appear.
  • Exclusive max: [min, max) means min can appear but max cannot.

The Random Number Generator on MyTimeCalculator is designed for user-friendly behavior: for integer ranges, both min and max are usually inclusive (for example, 1 to 10 includes both 1 and 10). For decimal ranges, the generator works on [min, max), but rounding may still show the upper bound for practical purposes.

4. Unique vs Repeating Random Numbers

When generating multiple random numbers, you often need to decide whether repeats are allowed:

  • Allow repeats: each draw is independent; numbers can appear more than once.
  • No repeats (unique): each number can appear at most once until the pool is exhausted.

The Random Number Generator supports both modes. In unique mode, it effectively performs a random sampling without replacement from the set {min, min + 1, …, max}. This is ideal for:

  • Randomly assigning students to seats or groups
  • Selecting lottery-style winning numbers
  • Shuffling positions or IDs without duplicates

If you request more unique numbers than the size of the range, the generator will either limit the count or show an error, because uniqueness would be impossible.

Random Numbers in Education & Classroom

Teachers and students use random numbers for:

  • Selecting random problems or examples
  • Choosing students to answer questions
  • Creating random math exercises or quizzes
  • Demonstrating probability and sampling

The Random Number Generator gives you an instant way to create unbiased selections and activities that keep lessons dynamic and engaging.

Gaming, Contests & Fun Decisions

Randomness is at the heart of many games and contests. Use the generator to:

  • Simulate dice rolls or card draws
  • Pick random winners in giveaways
  • Generate random positions, loot tables, or enemy spawns for tabletop RPGs
  • Break ties or make decisions (“If the number is even, we choose option A”)

Statistics & Simulation (Non-Crypto Uses)

In statistics and data science, random numbers are essential for:

  • Random sampling from data sets
  • Bootstrap methods and resampling
  • Monte Carlo simulations
  • Randomized experiments and treatment assignment

While the Random Number Generator is not designed for high-security cryptography, it is useful for educational and non-mission-critical simulations where convenience and speed matter.

Productivity & Everyday Life

Random numbers can simplify everyday decisions and organization:

  • Choosing which task to do next when you cannot decide
  • Rotating chores among family members
  • Randomly picking a restaurant, movie, or book
  • Creating simple, non-sensitive random IDs or codes

The MyTimeCalculator Random Number Generator becomes a handy decision tool whenever you want a neutral, unbiased outcome.

5. Pseudo-Random vs True Random – What’s the Difference?

A pseudo-random number generator (PRNG) uses a mathematical algorithm to produce a sequence of numbers that appears random. If you know the algorithm and the seed, you can reproduce the exact same sequence. This is useful for testing, debugging, and simulations where reproducible results are valuable.

In contrast, true random number generators (TRNGs) use physical processes, so even with full knowledge of the system, you cannot predict the next outcome better than chance.

The Random Number Generator on MyTimeCalculator uses a PRNG, which is:

  • Fast and efficient
  • Statistically uniform for everyday purposes
  • Suitable for math, games, simulations, and teaching

However, for tasks involving sensitive security—such as generating cryptographic keys or passwords for secure systems—you should use a dedicated cryptographically secure RNG instead of a general-purpose online tool.

6. Seeding and Reproducibility

A seed is the starting value for a pseudo-random number generator. Given the same seed and algorithm, a PRNG will always produce the same sequence of numbers. Some implementations allow you to:

  • Specify your own seed to reproduce results later
  • Use time-based or system-based seeds for more randomness between sessions

For most casual users, the seed is managed automatically, so you simply get fresh-looking random numbers whenever you load or use the calculator. For educators or developers, seed control can be useful to create consistent exercises or debug simulations.

7. Best Practices When Using a Random Number Generator

To make sure your random numbers are used correctly and interpreted fairly, keep these guidelines in mind:

  • Clearly define the range and whether both endpoints are included.
  • Decide in advance if repeats are allowed when drawing multiple values.
  • Use a sufficiently wide range to avoid unintended patterns.
  • For contests or giveaways, document the rules and how the RNG is used.
  • Do not use general PRNG tools for cryptographic security or highly sensitive decisions.

When used thoughtfully, the Random Number Generator becomes a powerful but simple tool for fairness, variety, and exploration.

Random Number Generator FAQs

Frequently Asked Questions

Quick answers to common questions about using the Random Number Generator and interpreting its results.

The Random Number Generator creates random integers or decimals within a range you specify. You can generate a single number or a list of numbers, simulate dice rolls and coin flips, or randomly select items from a custom list for games, classes, and everyday decisions.

Enter your desired minimum and maximum values (for example, 1 and 100), choose “integer” mode, and click “Generate.” The tool will return a random integer between the two values, typically including both endpoints unless otherwise specified in the interface notes.

Yes. You can specify how many numbers you want and whether they can repeat. The generator will then produce a list of random values in your chosen range. If you select “no repeats,” the tool ensures all results are unique until the range is exhausted.

For integer mode, the Random Number Generator usually treats the range as inclusive: any integer from min to max can appear. For decimal mode, values are drawn from a continuous interval and then rounded, so in practice you may see endpoints appear but the underlying range is conceptually [min, max) before rounding. Always check the on-screen note in the tool to confirm the exact behavior used on your page version.

Yes. Switch to decimal or floating-point mode, set your minimum and maximum values, choose how many decimal places you want, and click “Generate.” The tool will output random decimals in your chosen interval, rounded to the specified precision, which is useful for simulations and statistical work.

No. This tool is not designed as a cryptographically secure random number generator. It is ideal for math, education, games, sampling, and general decision-making, but you should not use it to generate passwords, keys, or tokens for sensitive accounts or systems. For that, use a dedicated cryptographically secure RNG or password manager instead.

The generator uses a standard pseudo-random number algorithm that is statistically uniform for most everyday uses. While it is not truly random in the physical sense, its output is effectively unpredictable for typical classroom, gaming, and non-security applications, and produces fair, unbiased selections across the chosen range over many trials.

Yes. If you enable the “no repeats” or “unique numbers” option, the generator performs sampling without replacement. It will not output the same number twice until it has used every number in the range once. If you request more unique values than exist in the range, the tool will indicate that the request is not possible and ask you to adjust your settings.

Absolutely. Many teachers use random numbers to select students, assign groups, choose problems from a list, or run probability demonstrations. The generator supports both numeric ranges and, in list mode, random selection of custom names or items, making it ideal for engaging classroom use and fair participation systems.

Yes. You can treat a coin flip as a random number between 1 and 2 (for example, 1 = Heads, 2 = Tails) and a die roll as a random number between 1 and 6. The generator can produce single outcomes or multiple rolls at once, making it great for board games, dice games, and probability experiments when physical dice or coins are not available.

Some implementations of random generators allow you to specify or display the seed used so you can reproduce the same sequence later. Whether this specific page exposes a seed setting depends on how you integrate it into your project. If reproducibility is important for your use case (for example, testing or teaching), consider adding an advanced “seed” input on top of the existing interface and wiring it to your PRNG backend.

True randomness actually includes streaks and clusters; seeing “patterns” (like several similar numbers close together) does not mean the generator is biased. Over many trials, the overall distribution will still be uniform, but in smaller samples it is common and expected to see runs or clusters simply by chance. This is a key idea in probability and statistics and often surprises people who expect randomness to “look” perfectly evenly spaced at all times.

Yes. The MyTimeCalculator Random Number Generator is designed to be mobile-friendly and works in modern web browsers on phones, tablets, laptops, and desktop computers. You can generate random numbers on the go without needing any extra apps or installations, as long as you have an internet connection and a browser.

If you need advanced, cryptographically secure randomness—for example, for encryption keys, secure tokens, or high-stakes security decisions—you should use a dedicated cryptographic RNG provided by your operating system, programming language, or a reputable security library. The MyTimeCalculator Random Number Generator is designed for general, non-sensitive use cases such as learning, games, and everyday decisions.