AP Statistics Sampling Distributions and Confidence Intervals

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What are the conditions for one sample proportion?

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The conditions for one sample proportion include random sampling, normality (np and n(1-p) both greater than or equal to 10), and independence/10% Condition n < 0.10N.

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What are the conditions for two sample proportions?

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The conditions for two sample proportions include independent random samples, normality (np and n(1-p) for both samples greater than or equal to 10), and independence/10% Condition n < 0.10N between samples.

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What are the conditions for one sample mean?

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The conditions for one sample mean include random sampling, normality (sample size greater than or equal to 30 or population normal), and independence/10% Condition n < 0.10N.

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What are the conditions for two sample means?

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The conditions for two sample means include independent random samples, normality (sample size greater than or equal to 30 or population normal for both samples), and independence/10% Condition n < 0.10N between samples.

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What is the Central Limit Theorem?

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The Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normally distributed, regardless of the population distribution, provided the sample size is sufficiently large (usually n >= 30).

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What is the 10% Condition?

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The 10% Condition states that the sample size should be less than 10% of the population size (n < 0.10N) to ensure independence between observations.

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What is the difference between a parameter and a statistic?

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A parameter is a numerical value that describes a characteristic of a population, while a statistic is a numerical value that describes a characteristic of a sample.

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What is the Center for the Sampling Distribution of One Sample Proportions and which condition must you check for Center?

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What is the Center for Sampling Distribution for Two Sample Proportions and which condition must you check for this?

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What is the Center for the Sampling Distribution of One Sample Means and which condition must you check for this?

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