Meters 1-5	Meters 6-10	Meters 11-15	Meters 16-20	Meters 21-25	Meters 26-30
870	915	915	930	900	915
840	900	900	915	900	885
930	945	975	870	915	945
900	885	945	930	900	900
960	930	885	915	930	915

1. Using = .05, is the sample mean significantly different from the expected population ?
2. Can we fully reject H_o? ____________________________________________________________________
3. What proportion of variability in meter times was accounted for by being in the sample rather than the expected population (i.e., calculate ²= t² / (t² + df))? _________________________________________
4. Using t(df) = ##.##, p < or > .05, = .##, ______________________________
5. Interpret the meaning of the results: What do they tell us about whether,and if so how, the mean sample time differs from the expected population mean time? _________________________________________ _______________________________________________________________________________________
6. If the data had been ordinal or you had a very small sample size, what backup test could be used instead? ________________________________________________________________________