Calculators

Calculates probabilities for a continuous uniform distribution where all outcomes within a range are equally likely.

Calculates the five-number summary (Minimum, First Quartile, Median, Third Quartile, Maximum) from a set of data, which is used to create a box plot.

Calculates the probability of observing a specific number of successes in a fixed number of independent Bernoulli trials, given the probability of success on each trial.

Finds the Z-score corresponding to a given cumulative probability (percentile) on a normal distribution.

Calculates the range within which a population parameter (e.g., mean, proportion) is likely to lie, with a certain confidence level.

Calculates probabilities and percentiles associated with the standard normal (Z) distribution or any normal distribution.

Helps determine class intervals and frequencies for constructing a histogram (visual representation of frequency distribution).

Organizes data into classes and shows the frequency (count) of observations in each class.

Applies the 68-95-99.7 rule for data distribution within standard deviations of the mean for a normal distribution.

Illustrates how the sampling distribution of the mean approaches normality as sample size increases.