Each person in a large sample of German adolescents was asked to
indicate which of 50 popular movies they had seen in the past year.
Based on the response, the amount of time (in minutes) of alcohol
use contained in the movies the person had watched was estimated.
Each person was then classified into one of four groups based on
the amount of movie alcohol exposure (groups 1, 2, 3, and 4, with 1
being the lowest exposure and 4 being the highest exposure). Each
person was also classified according to school performance. The
resulting data is given in the accompanying table.
Assume it is reasonable to regard this sample as a random sample of
German adolescents. Is there evidence that there is an association
between school performance and movie exposure to alcohol? Carry out
a hypothesis test using
α = 0.05.
Alcohol Exposure Group | |||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | ||
School Performance |
Excellent | 111 | 93 | 49 | 67 |
Good | 329 | 326 | 317 | 297 | |
Average/Poor | 239 | 259 | 314 | 319 |
Calculate the test statistic. (Round your answer to two decimal
places.)
χ2 =
What is the P-value for the test? (Round your answer to
four decimal places.)
P-value =
SOL:-
Results | ||||||
1 | 2 | 3 | 4 | Row Totals | ||
excellent | 111 (79.88) [12.12] | 93 (79.76) [2.20] | 49 (80.00) [12.01] | 67 (80.35) [2.22] | 320 | |
good | 329 (316.78) [0.47] | 326 (316.32) [0.30] | 317 (317.25) [0.00] | 297 (318.65) [1.47] | 1269 | |
average/poor | 239 (282.33) [6.65] | 259 (281.92) [1.86] | 314 (282.75) [3.45] | 319 (284.00) [4.31] | 1131 | |
Column Totals | 679 | 678 | 680 | 683 | 2720 (Grand Total) |
a) chi square test statistic
DF=6,
b)
p-value = 0.00001
The result is significant at p < .05.
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