Follow the questions below to conduct a One-way ANOVA test for the sample problem used in the lecture (with some slight data modifications):
A travel journal is comparing the ratings of three local cupcake
shops to see who’s the best.
N = 30; send 10 to each shop (assume alpha of .05)
Shop A: M = 1, SD = 3.00
Shop B: M = 5, SD = 3.16
Shop C: M = 6, SD = 3.32
-> Report significance (i.e., your statistical determination in the appropriate way for the ANOVA summary table)
The hypothesis being tested is:
H0: µ1 = µ2 = µ3
Ha: Not all means are equal
xi | s | s² | n | n*(xi - xgrand)² | ||
1 | 3 | 9 | 10 | 90 | 90 | |
5 | 3.16 | 9.9856 | 10 | 10 | 99.856 | |
6 | 3.32 | 11.0224 | 10 | 40 | 110.224 | |
xgrand | 4 | SSB | SSE | |||
140 | 300.08 | |||||
Source | SS | df | MS | F | p-value | |
Between | 140 | 2 | 70 | 6.29832 | 0.005689 | |
Error | 300.08 | 27 | 11.11407 | |||
Total | 440.08 | 29 |
The p-value is 0.005689.
Since the p-value (0.005689) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that there is a significant difference between the groups' means.
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