Question: 1. As a sample size approaches infinity, how does the student's t distribution compare to the normal z distribution? When a researcher draws a sample

1. As a sample size approaches infinity, how does the student's t compare to the normal z When a researcher draws a sample from a normal what can one conclude about the sample Explain.
2. A mayoral election race is tightly contested. In a random sample of 1,100 likely voters, 572 said that they were planning to vote for the current mayor. Based on this sample, what is the initial hunch? Would one claim with 95% confidence that the mayor will win a majority of the votes? Explain.

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