AS Instructions: Completeand answer the following:

1) Use the same variable that was used for phase 2 to come up with a claim. Make sure to explain your reasoning as to why to choose it. Variable y-crime rate

2) Write both hypotheses

3) Tell about the tail of the test, find the test statistic and p value

4) Write the initial conclusion based on the p value approach using alpha = .05

5) Writeyour final conclusion using a complete sentence in reference to the context of your problem

6) Discuss the error (type 1 or 2) that would be associated with your decision

7) Put your findings together in a PowerPoint

DATA

This indicates that there is a 95% confidence interval between the lower and upper bounds of the confidence interval representing the real average crime rate in the population. We can see from this interval the range of values that the population mean is probably going to fall inside.

The critical value for a 95% confidence interval with a sample size of n = 30 is 2.045. The standard error can be calculated as:

Standard Error = standard deviation / sqrt(sample size)

Plugging in the values, we get:

3. Standard Error = 192.7830 = 35.20

4. Confidence Interval = 310.32 (2.045 * 35.20) = (240.22, 380.42)

Therefore, we can say with 95% confidence that the population mean crime rate falls between 240.22 and 380.42.