(a) At a large firm, there is a movement to form a union. Approximately 50% of the entire firm favour unionising, while 30% do not favour unionising. A pro-union leader takes a random sample of 100 workers. Let p1 denote the proportion in this sample that favours a union. An antiunion leader takes an independent random sample of 100 workers. Let p2 denote the proportion in this sample that favours the union. Calculate the probability that p1 exceeds p2 by 0.1 or more. (b) The mean annual income of statisticians of firm 1 is K10, 000 higher than the mean annual income of statisticians of a second firm. Random samples of size n1 = 100 and n2 = 200, respectively, are taken from the two firms. (i) What is the probability that in the two samples the mean annual incomes differ by more than K15, 000? For each firm (population), the standard deviation is K30, 000.
a)
"p_1" is proportion of the entire firm favour unionising, "p_2" is proportion of the entire firm not favour unionising
"p_1=50\\ \\%=0.5,p_2=30\\ \\%=0.3"
"z=\\frac{p_1-p_2-0.1}{\\sqrt{p^*(1-p^*)(1\/n_1+1\/n_2)}}"
where
"p^*=\\frac{x_1+x_2}{n_1+n_2}=\\frac{50+30}{100+100}=0.4"
"z=\\frac{0.5-0.3-0.1}{\\sqrt{0.4(1-0.4)(0.1+0.1)}}=2.08"
"P(p_1-p_2\\ge0.1)=P(z<2.08)=0.98124"
We calculate the probability that p1 exceeds p2 by 0.1 or more; so, if difference of p1 and p2 is more than 0.1, then z<2.08.
b)
"\\overline{x_1},\\overline{x_2}" are the mean annual incomes of statisticians of firm 1 and firm 2.
"z=\\frac{\\overline{x_1}-\\overline{x_2}-\\Delta}{\\sigma\\sqrt{1\/n_1+1\/n_2}}"
"z=\\frac{10000-15000}{30000\\sqrt{1\/100+1\/200}}=-1.36"
"P(\\Delta>15000)=P(z<-1.36)=0.08691"
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