Normal approximation for the sample proportion (HSC SSCE Mathematics Extension 1): Flashcards

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Normal Approximation for the Sample Proportion
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What is sample proportion (p̂)?

p̂ = x/n, ratio of successes to sample size.

Why is sample proportion important?

It predicts larger group proportions from samples.

How to calculate sample proportion?

p̂ = number of successes / sample size.

What does the Central Limit Theorem imply for large samples?

Sample means approach a normal distribution as n increases.

What are the conditions for normal approximation?

n̂p ≥ 5 and n(1 - p̂) ≥ 5 must be met.

What is the mean of the sampling distribution?

E(p̂) ≈ p̂, the expected sample proportion.

How to calculate standard deviation of p̂?

SD(p̂) = √(p̂(1-p̂)/n).

What is the purpose of using normal approximation?

To convert p̂ to a z-score for probability calculations.

Define a z-score in statistics.

A z-score measures how many standard deviations a value is from the mean.

What is a practical application of sample proportion?

Predicting outcomes based on sample data.

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