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Distribution of Sample Proportions

Distribution of Sample Proportions

Assessment

Flashcard

Mathematics

10th - 12th Grade

Practice Problem

Hard

CCSS
HSS.ID.A.4, HSS.IC.B.3, HSS.IC.B.4

+3

Standards-aligned

Created by

Wayground Content

FREE Resource

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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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