Construct a 99% confidence interval for the difference between the mean annual salaries of entry level architects

Question:

Construct a 99% confidence interval for the difference between the mean annual salaries of entry level architects in Denver, Colorado, and Los Angeles, California, using the data from Exercise 28.


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 28:

Is the difference between the mean annual salaries of entry level architects in Denver, Colorado, and Los Angeles, California, equal to $10,000? To decide, you select a random sample of entry level architects from each city. The results of each survey are shown in the figure. Assume the population standard deviations are σ1 = $6520 and σ2 = $7130. At α = 0.01, what should you conclude?

Entry level architects in Denver, CO X = $50,410 n = 32 Entry level architects in Los Angeles, CA Denver I = $54,640 n2

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