ESTIMATION PAR UN INTERVALLE DE CONFIANCE D'UNE MOYENNE ET D'UNE PROPORTION

Confidence interval estimation is a statistical method for estimating an unknown parameter of a population, such as a mean or a proportion, using a sample of that population. Two commonly used types of confidence intervals are those for the mean and those for the proportion. Confidence interval for a mean: If the sample is sufficiently large (usually n ≥ 30) and the population follows a normal distribution or can be assumed to do so using the central limit theorem, the following confidence interval is generally used: Confidence interval for a proportion: If the sample is sufficiently large (usually n ≥ 30) and the distribution of responses is binomial, the following confidence interval is generally used: To calculate confidence intervals, one generally needs to know the desired confidence level, often expressed as a percentage (e.g., 95% or 99%). Confidence interval estimation is a statistical method for estimating an unknown parameter of a population, such as a mean or a proportion, using a sample of that population. Two commonly used types of confidence intervals are those for the mean and those for the proportion. Confidence interval for a mean: If the sample is sufficiently large (usually n ≥ 30) and the population follows a normal distribution or can be assumed to do so using the central limit theorem, the following confidence interval is generally used: Confidence interval for a proportion: If the sample is sufficiently large (usually n ≥ 30) and the distribution of responses is binomial, the following confidence interval is generally used: To calculate confidence intervals, the desired confidence level is generally required, often expressed as a percentage (e.g., 95% or 99%).