In: Math
t is election time and voters are going to the polls to cast their vote for their favorite candidates. A researcher was interested to study whether there is a significant difference in patterns of voting turnout among three regions: Eastern, Western and Central. She randomly selected 12 voting precincts from each region and calculated the sum of squares of the rate of participation as follows: SSB= 3,342.89 SSW= 7,265.42 Write the ANOVA formula and conduct an ANOVA test of patterns for voting turnout. Write the hypotheses HO and H1, calculate F ratio and interpret the results.
ANOVA Table format:
As per Question:
SS(Between) = 3,342.89
SS(Error) = 7,265.42
m = No. of regions = 3
n = Total no. of observations = 12
H0: There is a no difference in patterns of voting turnout among three regions: Eastern, Western and Central.
H1: There is a significant difference in patterns of voting turnout among three regions: Eastern, Western and Central.
ANOVA Table:
Source | df | SS | MS | F | p-value |
Factors | 2 | 3342.89 | 1671.445 | 2.070494 | 0.182093 |
Error | 9 | 7265.42 | 807.2689 | ||
Total | 11 | 10608.31 |
Since p-value = 0.182093 > 0.05 i.e. we can not reject H0 and hence we can say that there is no evidence to conclude that there is a significant difference in patterns of voting turnout among three regions: Eastern, Western and Central.
Please upvote if you have liked my answer, would be of great help. Thank you.