According to the U.S. Bureau of Labor Statistics, the average weekly earnings of a production worker in 1997 were $421.20. Suppose a labor wants to test to determine whether this figure is still accurate today. The researcher randomly selects 60 production workers from across the United States and obtains a representative earning statement for one week from each. The resulting sample average is $435.70. Assuming a population standard deviation of $33, and a 5% level of significance, determine whether the mean weekly earning of a population worker has changed.
"H_0:" "\\mu=421.20"
"H_{\\alpha}:" "\\mu\\ne421.20"
"z=\\frac{\\overline{}m-\\mu}{\\sigma\/\\sqrt{n}}=\\frac{435.70-421.20}{33\/\\sqrt{60}}=3.40"
p-value:
"2P(z>3.40)=2(1-0.99966)=0.00034"
Since p-value less than level of significance, we can reject the null hypothesis.
So, the mean weekly earning of a population worker has changed.
Comments
Leave a comment