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Statistics Variable Identified Populations

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A campaign conducts a poll of 1500 registered voters, and finds that 54% intend to vote for candidate A, 32% intend to vote for candidate B (their candidate), and 14% are undecided. Undecided voters, and those intending to support candidate A, are asked what single issue might cause them to support candidate B. The topic of candidate B's stump speech is selected to focus on the issue cited most frequently.
I. What is the population?
II. What is the sample?
III. Is the study observational or experimental? Justify your answer.
IV. If observational, identify ALL variables. If experimental, identify ALL independent and dependent variables.
V. For each of the variables identified in part IV, list which of the four levels/scales of measurement was used to obtain data on these variables?
VI. Classify each of the variables identified in part IV as either attribute or numerical

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Solution Summary

The statistics variables identified populations are examined.

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A campaign conducts a poll of 1500 registered voters, and finds that 54% intend to vote for candidate A, 32% intend to vote for candidate B (their candidate), and 14% are undecided. Undecided voters, and those intending to support candidate A, are asked what single issue might cause them to support candidate B. The topic of ...

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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