Construct a 95% confidence interval for the difference between the mean annual salaries of entry level software

Question:

Construct a 95% confidence interval for the difference between the mean annual salaries of entry level software engineers in Raleigh, North Carolina, and Wichita, Kansas, using the data from Exercise 27.


You can construct a confidence interval for the difference between two population means μ1 - μ2, as shown below, when both population standard deviations are known, and either both populations are normally distributed or both n1 ≥ 30 and n2 ≥ 30. Also, the samples must be randomly selected and independent.

σ σ σ V n1 <μ μω< ( ) + ( Ει ) Ζεy n2 n2

Construct the indicated confidence interval for μ1 - μ2.



Data from Exercise 27:

Is the difference between the mean annual salaries of entry level software engineers in Raleigh, North Carolina, and Wichita, Kansas, more than $2000? To decide, you select a random sample of entry level software engineers from each city. The results of each survey are shown in the figure at the left. Assume the population standard deviations are σ1 = $10,850 and σ2 = $10,970. At α = 0.05, what should you conclude?

Entry level software engineers in Raleigh, NC Raleigh X1 = $64,270 nį = 42 Entry level software engineers in Wichita, K


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