STAT 5.6 difference of 2 proportions

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What is the difference of two proportions?

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The difference of two proportions refers to the comparison of the proportions of a certain characteristic in two different groups, calculated as pA - pB, where pA is the proportion in group A and pB is the proportion in group B.

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How do you calculate the mean of the sampling distribution of the difference of two proportions?

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The mean of the sampling distribution of the difference of two proportions is calculated as (pA - pB), where pA and pB are the population proportions.

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What is a sampling distribution?

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A sampling distribution is the probability distribution of a statistic (like a sample mean or sample proportion) obtained from a large number of samples drawn from a specific population.

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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 (or proportion) will be approximately normally distributed if the sample size is sufficiently large, regardless of the population's distribution.

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What is the condition for the sampling distribution of the difference in sample proportions to be approximately normal?

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The condition is that both sample sizes must be large enough, typically requiring np and n(1-p) to be greater than 5 for both samples.

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What does it mean if P(PA - PB > 0) = 0.022?

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It means that in about 2.2% of random samples, the sample proportion of adults who prefer pop music will be greater than the sample proportion of students who prefer pop music.

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How do you interpret the standard deviation of the difference of two proportions?

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The standard deviation of the difference of two proportions measures the variability of the difference between the sample proportions from the expected difference in the population proportions.

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What is the formula for the standard deviation of the difference of two sample proportions?

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The formula is: sqrt[(pA(1-pA)/nA) + (pB(1-pB)/nB)], where pA and pB are the sample proportions and nA and nB are the sample sizes.

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What is a null hypothesis in the context of comparing two proportions?

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The null hypothesis states that there is no difference between the two population proportions, typically expressed as H0: pA = pB.

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What is an alternative hypothesis in the context of comparing two proportions?

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The alternative hypothesis states that there is a difference between the two population proportions, typically expressed as H1: pA ≠ pB.