| 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.
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Why to use | To determine if a sample proportion significantly differs from a population proportion or some other known proportion.
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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.
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Prerequisites | - Variables must be categorical.
- The variable is a random sample from the population.
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Input | Any dataset. | Output | - Level of Significance
- Z- Status
- p-value
- Confidence Interval
- Alternative Hypothesis
- Interpretation
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Statistical Methods Used | | Limitations | - The data needs to come from a random sample.
- The population should follow a binomial distribution.
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