Question: In Table 7.4 on page 173, all ten top hitters in the major league baseball in 2011 had lower batting averages in 2012, supporting regression

In Table 7.4 on page 173, all ten top hitters in the major league baseball in 2011 had lower batting averages in 2012, supporting regression toward the mean. Treating averages as whole numbers (without decimal points) and subtracting their batting averages for 2012 from those for 2011 (so that positive difference scores support regression toward the mean), we have the following ten difference scores: 14, 39, 61, 60, 13, 21, 50, 93, 16, 61.
(a) Test the null hypothesis (that the hypothetical population mean difference equals zero for all sets of top ten hitters over the years) at the .05 level of significance.
(b) Find the p - value.
(c) Construct a 95% confidence interval.
(d) Calculate Cohen€™s d.
(e) How might these findings be reported?
In Table 7.4

In Table 7.4 on page 173, all ten top hitters

Table 7.4 REGRESSION EFFECT: BATTING AVERAGES OF TOP 10 HITTERS IN MAJOR LEAGUE BASEBALL DURING 2011 AND HOW THEY FARED DURING 2012 BATTING AVERAGES* 2012 330 299 277 277 319 303 271 227 304 253 TOP TEN HITTERS (2011) 2011 344 1. Miguel Cabrera 2. A. Gonzalez 3. M. Young 4. J. Reyes 5. Braun 6. Kemp 7. Ellsbury 8. Napoli 9. Murphy 10. Pence .338 337 .332 -324 321 .320 -320 314 REGRESSION EFFECT Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes

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