.In a sample survey ,six estimates were made of the same mean.When the population mean became known ,the following errors were computed:-45,112,-89,-47,-13,26.Are these errors consistent with the hypothesis that the population of errors has a zero mean?Assume that the errors are normally distributed. *
"\\overline{X}=(-45+112-89-47-13+26)\/6=-9.33"
"s=\\sqrt{\\frac{n(\\sum X^2)-(\\sum X)^2}{n(n-1)}}=\\sqrt{\\frac{6*25544-(-56)^2}{6*5}}=\\sqrt{\\frac{150128}{30}}=70.74"
d.f. = n-1 = 6-1 = 5
We need to use t-test. Let's use "\\alpha=0.05":
1) H0: "\\mu=0", H1: "\\mu\\ne0"
2) critical t values (two-tailed, "\\alpha=0.05", d.f. = 5) = ±2.57
3) t(test value)="\\frac{\\overline{X}-\\mu}{s\/\\sqrt{n}}=\\frac{-9.33-0}{70.74\/\\sqrt{6}}=-0.32"
4) Do not reject the null hypothesis since -2.57<-0.32<2.57.
5) These errors are consistent with the hypothesis that the population of errors has a zero mean.
Comments
Leave a comment