The document discusses conducting a one-way ANOVA to compare the means of three groups. It provides the null and alternative hypotheses, reports a significant effect was found based on the SPSS output, and describes post hoc comparisons using the Tukey HSD test that found all three group means were statistically significantly different from one another.

1. Answer :
1) H0 : µ1 + µ2 + µ3
Ha: At least one group mean differ
2) Make a decision based on SPSS output:
“There was a signification effect of types remembered at the p<0.05 level for three
conditions (F (2, 12) = 13.38 , p = 0.001).”
Answer:
Group 1 (Group 1 and Group 2) : p < 0.009 (statistically significant)
Group 2 (Group 1 and Group 3) : p < 0.000 (statistically significant)
Group 3 (Group 2 and Group 3) : p < 0.042 (statistically significant)

2. Answer:
a) - Its use when we look at more than two groups of data and compare them.
- It help to find out if the means for each group / condition are significantly different
from one another or if they are relatively the same.
b) H0 : µ1 + µ2 + µ3
Ha: At least one group mean differ
c) Make a decision based on SPSS output:
“There was a signification effect of teacher’s experience remembered at the p<0.05 level
for three conditions (F (2, 47) = 15.69 , p = 0.000).”
d) Post hoc comparisons using the Tukey HSD test indicated that the mean score for 1-5
years experience (M= 41.60, SD= 5.77) did not significantly differ from the 6 -10 years
experience (M= 47.90, SD= 5.07) and 11-15 years experience(M= 37.00, SD= 4.64)

3. Group 1 (1-5 years and 6-10 years) : p < 0.000 (statistically significant)
Group 2 (1-5 years and 11-15 years) : p < 0.029 (statistically significant)
Group 3 (6-10 years and 11-15 years) ) : p < 0.000 (statistically significant)