In soccer, serious fouls result in a penalty kick with one kicker and one defending goalkeeper. The accompanying table summarizes results from
287287
kicks during games among top teams. In thetable, jump direction indicates which way the goalkeeper jumped, where the kick direction is from the perspective of the goalkeeper. Use a
0.050.05
significance level to test the claim that the direction of the kick is independent of the direction of the goalkeeper jump. Do the results support the theory that because the kicks are so fast, goalkeepers have no time to react, so the directions of their jumps are independent of the directions of the kicks?
Goalkeeper Jump |
||||
---|---|---|---|---|
Left |
Center |
Right |
||
Kick to Left |
5959 |
11 |
3737 |
|
Kick to Center |
4141 |
99 |
3434 |
|
Kick to Right |
4040 |
66 |
6060 |
Determine the null and alternative hypotheses.
A.
Upper H 0H0:
Goalkeepers jump in the direction of the kick.
Upper H 1H1:
Goalkeepers do not jump in the direction of the kick.
B.
Upper H 0H0:
Goalkeepers do not jump in the direction of the kick.
Upper H 1H1:
Goalkeepers jump in the direction of the kick.
C.
Upper H 0H0:
Jump direction is dependent on kick direction.
Upper H 1H1:
Jump direction is independent of kick direction.
D.
Upper H 0H0:
Jump direction is independent of kick direction.
Upper H 1H1:
Jump direction is dependent on kick direction.
Determine the test statistic.
chi squaredχ2equals=nothing
(Round to three decimal places as needed.)
Determine the P-value of the test statistic.
P-valueequals=nothing
(Round to four decimal places as needed.)
Do the results support the theory that because the kicks are so fast, goalkeepers have no time toreact, so the directions of their jumps are independent of the directions of the kicks?
There is
▼
sufficient
insufficient
evidence to warrant rejection of the claim that the direction of the kick is independent of the direction of the goalkeeper jump. The results
▼
do not support
support
the theory that because the kicks are so fast, goalkeepers have no time to react.
The statistical software output for this problem is:
Contingency table results:
Rows: var1
Columns: None
Left | Center | Right | Total | |
---|---|---|---|---|
Kick to left | 59 | 1 | 37 | 97 |
Kick to center | 41 | 9 | 34 | 84 |
Kick to right | 40 | 6 | 60 | 106 |
Total | 140 | 16 | 131 | 287 |
Chi-Square test:
Statistic | DF | Value | P-value |
---|---|---|---|
Chi-square | 4 | 17.585311 |
0.0015 |
Hence,
Hypotheses: Option D is correct.
Test statistic = 17.585
P-value = 0.0015
Conclusion: Sufficient; Do not support
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