Explain how you can tell how well a linear or exponential fits a set of data
1 answer:
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Answer:
n=9604
Step-by-step explanation:
1) Notation and definitions
number of people that would vote for the Republican candidate
random sample taken
estimated proportion of people that would vote for the Republican candidate
true population proportion of people that would vote for the Republican candidate
Me= 0.01 represent th margin of error.
Confidence =0.95 or 95%
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The population proportion have the following distribution
In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by and
. And the critical value would be given by:
The margin of error for the proportion interval is given by this formula:
(a)
And on this case we have that and we are interested in order to find the value of n, if we solve n from equation (a) we got:
(b)
The problem says that we need to use , and replacing into equation (b) the values from part a we got:
And rounded we have that n=9604