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------------------------------------------------ The Large Counts Condition must be met so that the sampling distribution of a sample proportion is approximately normal. Using appropriate notation, write out the Large Counts Condition for Normality.

The condition is:

\[ np \geq 10 \]

and

\[ n(1-p) \geq 10 \]

where \( n \) is the sample size and \( p \) is the sample proportion.

Appropriate notation the Large Counts Condition for Normality is
The Large Counts Condition for Normality states that is the number of successes and failures which should be above the 10 to be assume normality
that is here express as n(p)>10 and n(1-p)>10
This is the notation of the Large Counts Condition for Normality.

Darla1012 Darla1012 · Answer 2 · 2025-05-13T13:35:50-04:00

Final answer:

The Large Counts Condition for Normality states that np and nq must both be greater than 5 in order for the sampling distribution of a sample proportion to be approximately normal.

Explanation:

The Large Counts Condition for Normality states that in order for the sampling distribution of a sample proportion to be approximately normal, both np and nq must be greater than 5, where n is the sample size and p is the probability of success in a single trial.

Learn more about Central Limit Theorem for Sample Proportions here:

https://brainly.com/question/29216740

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