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If the conditions of a survey sample satisfy those required by the central limit​ theorem, then there is a​ 95% probability that a sample proportion will fall within how many standard errors of the population​ proportion?.

Sagot :

There are 2 standard errors of the population​ proportion is occurs when the conditions of a survey sample satisfy those required by the central limit​ theorem, and there is a​ 95% probability.

Central limit theorem:

Central limit theorem or CLT theorem states that the distribution of sample means approximates a normal distribution as the sample size gets larger, regardless of the population's distribution.

Given,

If the conditions of a survey sample satisfy those required by the central limit​ theorem, then there is a​ 95% probability that a sample proportion will fall

Here we need to finds the number of standard errors of the population​ proportion.

Based on the central limit theorem, when we take the situation into consideration, we have identify the there are 2 standard error are happen in the population proportion.

To know more about Central limit theorem here.

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