From the course: Statistics Foundations 3: Using Data Sets

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Creating a 95% confidence interval for a population

Creating a 95% confidence interval for a population

From the course: Statistics Foundations 3: Using Data Sets

Creating a 95% confidence interval for a population

- So there's an upcoming election for mayor of a large city between two candidates. Let's simply call them candidate A and candidate B. You work for candidate A. Candidate A's campaign team wants to know where candidate A stands. So they ask you to conduct a poll. You gather a simple, random sample of 100 voters. You ask if they will vote for candidate A or candidate B. 55% Of 100 voters polled said they planned on voting for candidate A. Anything over 50% in the election is a win. So based on the poll, things look promising for candidate A. That said, it's a big city. And you have just one sample. And the sample size was only a hundred. Look, I know my pre-election poll isn't perfect, but even this small poll can provide us some helpful information. Let's use our poll results to create a 95% confidence interval. In other words, let's create an interval that very likely will include the actual proportion of votes…

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