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This calculator finds the probability of obtaining a certain value for a sample mean, based on a population mean, population standard deviation, and sample size. Simply enter the appropriate values for a given distribution below and then click the “Calculate” button.
This normal probability calculator for sampling distributions finds the probability that your sample mean lies within a specific range. It calculates the normal distribution probability with the sample size (n), a mean values range (defined by X₁ and X₂), the population mean (μ), and the standard deviation (σ).
This Normal Probability Calculator for Sampling Distributions will compute normal distribution probabilities for sample means X¯, using the population mean, standard deviation and sample size.
Probability Percentiles. P (X ≥ P (X ≤ P ( ≤ X ≤ ) or X ≥. Results: Using T distribution (σ unknown). μ X̄ = 50. σ X̄ = 0.1861. Probability: P (0.2000<X̄<0.7000)=0.0000. Recalculate.
A sampling distribution is the probability distribution of a sample statistic. So, for example, the sampling distribution of the sample mean ($\bar{x}$) is the probability distribution of $\bar{x}$.
Use this calculator to find the probability distribution of a sample statistic. This mean of sampling distribution calculator also calculates the characteristics of sample distribution such as expected value and standard error of a mean along with the graphical representation.
Our sample distribution calculator determines the sample mean, through related parameters like a population mean, standard deviation, and sample size. It derives the probability distribution of sample statistics that lie within a specified range.