Sampling_Distribution_(continued)

# A survey of 1000 likely voters shows 58 are voting

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Unformatted text preview: f 1000 likely voters shows 58% are voting for him? Which of these number is a parameter? A. 58% B. 60% C. 1000 Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Identify the sampling distribution based on n = 10 Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Identify the sampling distribution based on n = 10 D. Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Identify the sampling distribution based on n = 1000 Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Identify the sampling distribution based on n = 1000 Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Sampling Distribution of the Sample Proportion Example: Ask 100 people randomly if they would voted for Mitt Romney. The answers could be Yes o...
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## This note was uploaded on 03/12/2014 for the course STATS 10 taught by Professor Ioudina during the Spring '08 term at UCLA.

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