This requires you to conduct a one-way analysis of variance.
Data are given to you on the times (in minutes) of athletes competing in a Triathlon for a random sample of athletes using five different training programs.
a.) Conduct an appropriate test to determine if there are significant differences in the times for the different training programs.
b.) Present the results of the analysis and interpret them.
Circuit | Free weights | Isometrics | Meditation | Land and Sea |
200 | 260 | 175 | 260 | 247 |
255 | 243 | 250 | 255 | 249 |
304 | 258 | 208 | 265 | 251 |
264 | 263 | 273 | 257 | 247 |
250 | 267 | 257 | 268 | 309 |
265 | 204 | 264 | 263 | 245 |
245 | 302 | 233 | 247 | 249 |
250 | 250 | 254 | 286 | 260 |
266 | 248 | 268 | 251 | 217 |
246 | 145 | 252 | 252 | 208 |
251 | 254 | 256 | 266 | 228 |
304 | 275 | 265 | 264 | 253 |
248 | 270 | 252 | 210 | 295 |
243 | 203 | 245 | 236 | 222 |
221 | 222 | 235 | 225 | 221 |
223 | 230 | 216 | 230 | 197 |
220 | 225 | 241 | 232 | 281 |
a.) Conduct an appropriate test to determine if there are significant differences in the times for the different training programs.?
Using Excel’s data analysis tool we see that p-value = 0.856772 > .05, and so we cannot reject the null hypothesis and conclude there is no significant difference between the means of the five different training methods.
b) b.) Present the results of the analysis and interpret them.
One way analysis is possible in excel data analysis through one way Anova single factor statistics
1. Go to data tab --> choose data analysis --> slect ANOVA single factor
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