
Distribution of Sample Proportions
Flashcard
•
Mathematics
•
10th - 12th Grade
•
Practice Problem
•
Hard
+3
Standards-aligned
Wayground Content
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the definition of sample proportion (p-hat)?
Back
The sample proportion (p-hat) is the ratio of the number of successes in a sample to the total number of observations in that sample.
Tags
CCSS.HSS.IC.B.4
2.
FLASHCARD QUESTION
Front
What are the conditions for the sampling distribution of p-hat to be approximately normal?
Back
1. The sample is drawn randomly from the population. 2. The sample size is large enough such that both np ≥ 10 and n(1-p) ≥ 10.
3.
FLASHCARD QUESTION
Front
If a population has a proportion of 49% males, what is the value of p?
Back
p = 0.49
Tags
CCSS.6.SP.A.2
4.
FLASHCARD QUESTION
Front
What is the formula for the standard error of the sample proportion?
Back
5.
FLASHCARD QUESTION
Front
What does it mean if the sample size is too small to consider the distribution of p-hat normal?
Back
It means that the sample size does not meet the conditions np ≥ 10 and n(1-p) ≥ 10, which are necessary for the Central Limit Theorem to apply.
6.
FLASHCARD QUESTION
Front
How do you calculate the probability of a sample proportion falling within a certain range?
Back
You can use the normal approximation to the binomial distribution, calculating the z-scores for the sample proportions and using the standard normal distribution to find probabilities.
Tags
CCSS.HSS.ID.A.4
7.
FLASHCARD QUESTION
Front
What is the significance of the Central Limit Theorem in relation to sample proportions?
Back
The Central Limit Theorem states that the distribution of sample proportions will be approximately normal if the sample size is sufficiently large, regardless of the population distribution.
Tags
CCSS.HSS.ID.A.4
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