STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following is not a condition that needs to be checked for inference for proportions?
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Ensuring that the sample is independent
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Making sure the sample is representative of the population
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n*p0 > 10, n*q0 > 10
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n*p-hat > 10, n*q-hat > 10
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Explanation:
Detailed explanation-1: -What is Sample Proportion? Formally, the sample proportion formula is given by: ^p=xn, p ^ = x n, where ^p-pronounced p-hat-is the sample proportion, x is the number of successes in the sample, and n is the size of the sample.
Detailed explanation-2: -The Sampling Distribution of the Sample Proportion. For large samples, the sample proportion is approximately normally distributed, with mean ˆP=p. and standard deviation ˆP=√pqn. A sample is large if the interval [p−3ˆp, p+3ˆp] lies wholly within the interval [0, 1].
There is 1 question to complete.