Normal approximation for the sample proportion (HSC SSCE Mathematics Extension 1): Flashcards
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Practise the cards
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What is sample proportion (p̂)?
What is sample proportion (p̂)?
p̂ = x/n, ratio of successes to sample size.
Why is sample proportion important?
Why is sample proportion important?
It predicts larger group proportions from samples.
How to calculate sample proportion?
How to calculate sample proportion?
p̂ = number of successes / sample size.
What does the Central Limit Theorem imply for large samples?
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?
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?
What is the mean of the sampling distribution?
E(p̂) ≈ p̂, the expected sample proportion.
How to calculate standard deviation of p̂?
How to calculate standard deviation of p̂?
SD(p̂) = √(p̂(1-p̂)/n).
What is the purpose of using normal approximation?
What is the purpose of using normal approximation?
To convert p̂ to a z-score for probability calculations.
Define a z-score in statistics.
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?
What is a practical application of sample proportion?
Predicting outcomes based on sample data.
