In: Statistics and Probability
The following data represent weights (pounds) of a random sample of professional football players on the following teams.
X1 = weights of players for the Dallas Cowboys
X2 = weights of players for the Green Bay Packers
X3 = weights of players for the Denver Broncos
X4 = weights of players for the Miami Dolphins
X5 = weights of players for the San Francisco Forty Niners
You join a Fantasy Football league and you are wondering if weight is a factor in winning Football games.
Looking at the Summary output, which two teams have the biggest difference in weight?
See Attached Excel for Data.
Dallas Cowboys Wt. | Green Bay Packers Wt. | Denver Broncos Wt. | Miami Dolphins Wt. | San Fran. 49ers Wt. |
250 | 260 | 270 | 260 | 247 |
255 | 271 | 250 | 255 | 249 |
255 | 258 | 281 | 265 | 255 |
264 | 263 | 273 | 257 | 247 |
250 | 267 | 257 | 268 | 244 |
265 | 254 | 264 | 263 | 245 |
245 | 255 | 233 | 247 | 249 |
252 | 250 | 254 | 253 | 260 |
266 | 248 | 268 | 251 | 217 |
246 | 240 | 252 | 252 | 208 |
251 | 254 | 256 | 266 | 228 |
263 | 275 | 265 | 264 | 253 |
248 | 270 | 252 | 210 | 249 |
228 | 225 | 256 | 236 | 223 |
221 | 222 | 235 | 225 | 221 |
223 | 230 | 216 | 230 | 228 |
220 | 225 | 241 | 232 | 271 |
Reference: The Sports Encyclopedia Pro Football
The summary output can be obtained using the "Descriptive Statistic" function available in the data analysis package under the data tab of the MS-Excel and the results are :
Dallas Cowboys Wt. | Green Bay Packers Wt. | Denver Broncos Wt. | Miami Dolphins Wt. | San Fran. 49ers Wt. | |||||
Mean | 247.1764706 | Mean | 251 | Mean | 254.2941176 | Mean | 249.0588235 | Mean | 240.8235 |
Standard Error | 3.720210397 | Standard Error | 4.141788474 | Standard Error | 3.937717973 | Standard Error | 4.066063449 | Standard Error | 4.119747 |
Median | 250 | Median | 254 | Median | 256 | Median | 253 | Median | 247 |
Mode | 250 | Mode | 254 | Mode | 252 | Mode | #N/A | Mode | 249 |
Standard Deviation | 15.33882042 | Standard Deviation | 17.07703136 | Standard Deviation | 16.23562713 | Standard Deviation | 16.76480908 | Standard Deviation | 16.98615 |
Sample Variance | 235.2794118 | Sample Variance | 291.625 | Sample Variance | 263.5955882 | Sample Variance | 281.0588235 | Sample Variance | 288.5294 |
Kurtosis | -0.581442488 | Kurtosis | -0.928392718 | Kurtosis | 0.636181835 | Kurtosis | 0.137422466 | Kurtosis | -0.55481 |
Skewness | -0.725742052 | Skewness | -0.490192016 | Skewness | -0.682486675 | Skewness | -0.958624665 | Skewness | -0.36353 |
Range | 46 | Range | 53 | Range | 65 | Range | 58 | Range | 63 |
Minimum | 220 | Minimum | 222 | Minimum | 216 | Minimum | 210 | Minimum | 208 |
Maximum | 266 | Maximum | 275 | Maximum | 281 | Maximum | 268 | Maximum | 271 |
Sum | 4202 | Sum | 4267 | Sum | 4323 | Sum | 4234 | Sum | 4094 |
Count | 17 | Count | 17 | Count | 17 | Count | 17 | Count | 17 |
The highest difference between two team averages are :
Denver Broncos Wt. - San Fran. 49ers Wt. = 254.2941176 - 240.8235 = 13.47062
Hope this answers your query!