One Sample Proportion Test

One Sample Proportion Test

One Sample Proportion Test

Description

A one-sample proportion test is a statistical test used to determine if a single proportion (or percentage) of a population is statistically different from a hypothesized value.



Why to use

To determine if a sample proportion significantly differs from a population proportion or some other known proportion.



When to use

  • To test whether the probability of occurrence of an event is different from a standard or historical value.

When not to use

  • When random, normal, and independence conditions for these confidence intervals are not valid.

Prerequisites

  • Variables must be categorical.
  • The variable is a random sample from the population.



Input

Any dataset.

Output

  • Level of Significance
  • Z- Status
  • p-value
  • Confidence Interval
  • Alternative Hypothesis
  • Interpretation

Statistical Methods Used

  • p-value
  • Z-Status

Limitations

  • The data needs to come from a random sample.
  • The population should follow a binomial distribution.

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