An oceanographer has an old bathymetric map of an area and thinks that the depth it shows may be incorrect. She has modern equipment with her, and decides to conduct a test to see if the map’s value of 72.4 fathoms is correct. She conducts a random sample of depth at 35 locations in the area. Her sample mean was found to be 73.2 fathoms. Based on previous studies with this equipment, we can assume that σ = 2.1 fathoms. Based on a 0.05 level of significance, can we say that the map is correct/incorrect? Use Microsoft Excel so solve this question (Show all Excel formulas used)
| null hypothesis:Ho μ | = | 72.4 | |
| Alternate Hypothesis:Ha μ | ≠ | 72.4 | |
| for 0.05 level with two tail test , critical z= | 1.960 # (use norminv(0.975) | ||
| Decision rule:reject Ho if absolute test stat|z|>1.96 | |||
| population mean μ= | 72.4 |
| sample mean 'x̄= | 73.200 |
| sample size n= | 35.00 |
| std deviation σ= | 2.100 |
| std error ='σx=σ/√n=2.1/√35= | 0.3550 |
| test stat z = '(x̄-μ)*√n/σ= (73.2-72.4)/0.355 = | 2.25 |
| p value = | 0.0244 # use 2*(1-normsdist(2.25)) |
since p value <0.05 , we reject null hypothesis and conclude that map is incorrect
An oceanographer has an old bathymetric map of an area and thinks that the depth it...
An oceanographer wants to test, on the basis of the mean of a random sample of size ? = 35 and at the 0.05 level of significance, whether the average depth ocean in a certain area is 72.4 fathoms, as has been recorded. What will she decide if she gets ?̅ = 73.2 fathoms, and she can assume from information gathered in similar studies that σ = 2.1 fathoms?
An oceanographer wants to test, on the basis of the mean of a random sample of size ? = 35 and at the 0.05 level of significance, whether the average depth ocean in a certain area is 72.4 fathoms, as has been recorded. What will she decide if she gets ?̅ = 73.2 fathoms, and she can assume from information gathered in similar studies that σ = 2.1 fathoms?
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