An economist is studying salaries for high technology companies and wants to test the claim that the average salary for high tech employees is less than $70,000. The economist selects a sample of 35 random employees from various high tech companies and records their salaries. Based on past studies, the economist determines that the population standard deviation is $8,500. The economist conducts a one-mean hypothesis test at the 5% significance level to test the claim that the average salary for high tech employees is less than $70,000. Which is the correct setup for the null and alternative hypothesis for this example? Select the correct answer below: H0:μ=70,000; Ha:μ<70,000, which is a left-tailed test. H0:μ=70,000; Ha:μ>70,000, which is a right-tailed test H0:μ<70,000; Ha:μ=70,000, which is a left-tailed test. H0:μ>70,000; Ha:μ=70,000, which is a left-tailed test.
An economist is studying salaries for high technology companies and wants to test the claim that the average salary for high tech employees is less than $70,000.
The economist selects a sample of 35 random employees from various high tech companies and records their salaries. Based on past studies, the economist determines that the population standard deviation is $8,500.
The economist conducts a one-mean hypothesis test at the 5% significance level to test the claim that the average salary for high tech employees is less than $70,000.
Which is the correct setup for the null and alternative hypothesis for this example?
Select the correct answer below:
H0:μ=70,000; Ha:μ<70,000, which is a left-tailed test.
H0:μ=70,000; Ha:μ>70,000, which is a right-tailed test
H0:μ<70,000; Ha:μ=70,000, which is a left-tailed test.
H0:μ>70,000; Ha:μ=70,000, which is a left-tailed test.
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