In: Statistics and Probability
The observed frequencies of sales of different colours of cars are shown in the following table:
Category colour |
Black |
Red |
Green |
White |
Blue |
Observed Frequencies |
20 |
30 |
25 |
25 |
48 |
Calculate the chi-square test statistic to test the claim of equal probabilities.
(Round off the answer to 2 decimal digits.)
Answer:
Given that,
The observed frequencies of sales of different colours of cars are shown in the following table:
Category colour | Black | Red | Green | White | Blue |
Observed Frequencies | 20 | 30 | 25 | 25 | 48 |
Calculate the chi-square test statistic to test the claim of equal probabilities:
The calculation table:
Category Colour | Oi | Ei | (Oi-Ei)^2 | (Oi-Ei)^2/Ei |
Black | 20 | 29.6 | 92.16 | 3.1135 |
Red | 30 | 29.6 | 0.16 | 0.0054 |
Green | 25 | 29.6 | 21.16 | 0.7149 |
White | 25 | 29.6 | 21.16 | 0.7149 |
Blue | 48 | 29.6 | 338.56 | 11.4378 |
Total | =148 | =15.9865 |
[Under the claims equal probabilities each colour should have same frequency.]
Total frequency= 148
=148/5
=29.6
Therefore, the total frequency is 29.6.
The chi-square test statistic is,
Where,
Oi=Observed frequency
Ei= Expected frequency
=3.1135+0.0054+0.7149+0.7149+11.4378
=15.9865
=15.99 (Approximately)
Therefore,
**Please comment on any doubt.