Observed
Frequency
Brand of Preferences
A 102
B 121
C 120
D 57
Use a Excel spreadsheet to test this hypothesis at the 0.05 level. Submit the Excel spreadsheet you create along with an explanation of results (either in your pdf or on the Excel spreadsheet).
let P1,P2,P3,P4 denotes the proportion of peoples prefer brands A,B,C and D respectively
so we need to test that
H0:P1=P2=P3=P4=0.25
H1: proportions are different
now calculating expected frequencies under H0 and the calculating chi-square statistics
Expected Frequency =N*P
Chi square statistics given by
now using excel we have calculated that
Brand | Observed | Expected=n*Pi=400*Pi | U=(Observed-expected)^2 | U/expected |
A | 102 | 100 | 4 | 0.039216 |
B | 121 | 100 | 441 | 3.644628 |
C | 120 | 100 | 400 | 3.333333 |
D | 57 | 100 | 1849 | 32.4386 |
Total | 39.45577 |
CHi square value =39.46
Chi Square DF=n-1=4-1=3
Now P value =P(chi square >39.46) <0.00001
Since PValue is very less than level of significance hence we reject H0 hence there is enough evidence to conclude that proportions of prefereing brands A,B,C and D are different.
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