In: Statistics and Probability
A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.
4. Conduct a one-way ANOVA. Report your statistical findings (including any applicable tables in APA format) here.
Achievement_Group | Gender | Cheat |
1 | 0 | 20 |
1 | 0 | 40 |
1 | 0 | 49 |
1 | 0 | 50 |
1 | 0 | 51 |
1 | 0 | 51 |
1 | 0 | 52 |
1 | 0 | 53 |
1 | 0 | 58 |
1 | 1 | 42 |
1 | 1 | 48 |
1 | 1 | 48 |
1 | 1 | 52 |
1 | 1 | 55 |
1 | 1 | 55 |
1 | 1 | 56 |
1 | 1 | 59 |
1 | 1 | 67 |
1 | 1 | 80 |
1 | 1 | 79 |
2 | 0 | 19 |
2 | 0 | 25 |
2 | 0 | 20 |
2 | 0 | 29 |
2 | 0 | 24 |
2 | 0 | 32 |
2 | 0 | 25 |
2 | 0 | 27 |
2 | 0 | 30 |
2 | 0 | 55 |
2 | 1 | 40 |
2 | 1 | 25 |
2 | 1 | 27 |
2 | 1 | 35 |
2 | 1 | 42 |
2 | 1 | 30 |
2 | 1 | 30 |
2 | 1 | 34 |
2 | 1 | 40 |
2 | 0 | 27 |
3 | 0 | 60 |
3 | 0 | 65 |
3 | 0 | 69 |
3 | 0 | 78 |
3 | 0 | 79 |
3 | 0 | 80 |
3 | 0 | 80 |
3 | 0 | 90 |
3 | 0 | 95 |
3 | 0 | 50 |
3 | 1 | 55 |
3 | 1 | 55 |
3 | 1 | 60 |
3 | 1 | 69 |
3 | 1 | 70 |
3 | 1 | 70 |
3 | 1 | 88 |
3 | 1 | 90 |
3 | 1 | 90 |
3 | 1 | 91 |
Solution
We will solve it using excel
The output from excel for anova is given below
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Achievement_Group | 60.0000 | 120.0000 | 2.0000 | 0.6780 | ||
Gender | 60.0000 | 30.0000 | 0.5000 | 0.2542 | ||
Cheat | 60.0000 | 3165.0000 | 52.7500 | 457.7161 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 106157.5000 | 2.0000 | 53078.7500 | 347.1860 | 0.0000 | 3.0470 |
Within Groups | 27060.2500 | 177.0000 | 152.8828 | |||
Total | 133217.7500 | 179.0000 |
Define Null and alternative hypothesis
Ho : Three groups (low, middle, and high) have same mean.
H1 : At least one of the group have different mean than other
F statistic = 347.1860
F crit = 3.0470
Decision : F statistic = 347.1860 > F crit = 3.0470 , so reject Ho at 0.05 level of significance.
Conclusion : The mean of doing cheating is different for at least one of the group.