A random group of desktop computer sales was selected from an electronic discount chain to analyze the size of
monitor purchased with the computer. The data is as follows:
Monitor type |
15" CRT |
15" flat panel |
17" CRT |
17" flat panel |
19" CRT |
Number of sales |
18 |
23 |
11 |
9 |
4 |
At the .05 level of significance, is there evidence to reject the hypothesis that the number of monitors is
equally distributed between the five types?
here null hypothesis:Ho: number of monitors is equally distributed between the five types
alternate hypotheiss:Ha: number of monitors is not equally distributed between the five types
degree of freedom =categories-1=5-1=4
for 4 degree of freedom and 0.05 level ; rejection region >=9.488
applying chi square goodness of fit test:
observed | Expected | Chi square | |||
category | Probability(p) | Oi | Ei=total*p | R2i=(Oi-Ei)2/Ei | |
15' CRT | 0.200 | 18.000 | 13.000 | 1.923 | |
15' flat panel | 0.200 | 23.000 | 13.000 | 7.692 | |
17' CRT | 0.200 | 11.000 | 13.000 | 0.308 | |
17' flat panel | 0.200 | 9.000 | 13.000 | 1.231 | |
19' CRT | 0.200 | 4.000 | 13.000 | 6.231 | |
total | 1.000 | 65 | 65 | 17.385 |
as test statistic 17.385 is in rejection region; we reject null hypothesis
\we have sufficient evidence at 0.05 level to reject the hypothesis that the number of monitors is
equally distributed between the five types,.
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