n=4
α=0.05
df=n-1=3
"H_0: P_1=0.4, P_2=0.2, P_3=0.3, P_4=0.1"
"H_1:" Proportion differs from the given proportion.
Test-statistic:
"\u03c7^2 = \\sum^n_i \\frac{(O_i-E_i)^2}{E_i} \\\\\n\n\u03c7^2 =8.23"
Critical value:
α=0.05
df=3
"\u03c7^2_{0.05,3}=7.815" (Chi-square table)
Since "\u03c7^2 =8.23 > \u03c7^2_{0.05,3}=7.815" we reject H0 at the 5% level of significance.
There is insufficient evidence to conclude that proportions of people with A, B, O and AB blood types in the population are 0.4, 0.2, 0.3 and 0.1.
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