In: Statistics and Probability
Q1 A researcher recorded the scores of 20 students in a written examination, trained in different methods, as shown below.
The data is arranged according to the training method used
TRAINING METHOD SCORES
Video Cassette 74 88 82 93 55 70
Audio Cassette 78 80 65 57 89
Classroom 68 83 50 91 84 77 94 81 92
B Assume that you are carrying out a research at a university with 2000 students. How large a sample should you get to estimate the proportion of students who smoke to within a margin of error of ±5%, using any formulae. 10 marks
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Video Cassette | 6 | 462 | 77 | 188.8 | ||
Audio Cassette | 5 | 369 | 73.8 | 161.7 | ||
Classroom | 9 | 720 | 80 | 192.5 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 126.15 | 2 | 63.075 | 0.342492 | 0.714786 | 3.591531 |
Within Groups | 3130.8 | 17 | 184.1647 | |||
Total | 3256.95 | 19 |
Since P-value=0.714786>0.05 so we fail to reject H0 at 5% level of significance and there is insufficient evidence to conclude that the examination scores among the 3 methods are significantly different at 5% significance level.
B.