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Essentials of Statistics for the B...

8th Edition
Frederick J Gravetter + 1 other
ISBN: 9781133956570

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Section
BuyFindarrow_forward

Essentials of Statistics for the B...

8th Edition
Frederick J Gravetter + 1 other
ISBN: 9781133956570
Textbook Problem

The color red is often associated with anger and male dominance. Based on this observation, Hill and Barton (2005) monitored the outcome of four combat sports (boxing, tae kwan do, Greco-Roman wrestling, and freestyle wrestling) during the 2004 Olympic games and found that participants wearing red outfits won significantly more often than those wearing blue.

  • a. In 50 wrestling matches involving red versus blue, suppose that the red outfit won 31 times and lost 19 times. Is this result sufficient to conclude that red wins significantly more than would be expected by chance? Test at the .05 level of significance.
  • b. In 100 matches, suppose red won 62 times and lost 38. Is this sufficient to conclude that red wins significantly more than would be expected by chance? Again, use α = .05.
  • c. Note that the winning percentage for red uniforms in part b is identical to the percentage in part b (31 out of 50 is 62%, and 62 out of 100 is also 62%). Although the two samples have an identical winning percentage, one is significant and the other is not. Explain why the two samples lead to different conclusions.

a.

To determine
If the participants wearing red outfits won significantly more often than those wearing blue.

Explanation

Given info:

n=50,α=0.05

Calculation:

The hypotheses are given below:

Null hypothesis:

H0: There is no significant difference in the winning probability of participants wearing red and blue outfits.

Alternative hypothesis:

H1: There is significant difference in the winning probability of participants wearing red and blue outfits.

Test statistic:

Expected number of matches won by participants wearing red and blue outfits = 25 matches each.

χ2=(fofe)2

b.

To determine
If the participants wearing red outfits won significantly more often than those wearing blue.

c.

To determine
The reason for the difference in conclusion with change in sample size.

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