According to a report, 30 percent of Malaysian graduates are unemployed. An academician is curious to determine if the same pattern also exists in Kota Kinabalu. He randomly selects 320 non science graduates and 425 science graduates for the analysis.
Field of study Gender Unemployed Employe
Non- science male 54 141
female 53 72
Science male 87 165
female 43 130
a. Test if the proportion of unemployed non-science male graduates is 5 percent less than
the proportion of science male graduates at 10 percent significance level.
i. Specify the competing hypotheses of the test.
ii. Calculate the value of the relevant test statistic.
iii. Compute the p-value.
iv. At 5% significance level, does the proportion of unemployed non-science male
graduates is 5 percent less than the proportion of science male graduates?
Unemployed non-science male graduates = 54
Total non-science male graduates n1= 54+141 = 195
Proportion of non-science unemployed male graduates:
"\\hat{p}_1= \\frac{54}{195}=0.2769"
Total science male graduates n2 = 87 + 165 = 252
Proportion of science unemployed male graduates:
"\\hat{p}_2= \\frac{87}{252}=0.3452"
i. Z test for two sample proportions
"H_0: p_1-p_2 \u2265 -0.05 \\\\\n\nH_1: p_1-p_2< -0.05"
ii.
Test statistic
"z= \\frac{\\hat{p}_1 - \\hat{p}_2 - (p_1-p_2) }{\\sqrt{\\bar{p}(1-\\bar{p})( \\frac{1}{n_1} + \\frac{1}{n_2} )}}"
Pooled proportion:
"\\bar{p}= \\frac{54+87}{195+252}=0.3154 \\\\\n\nZ= \\frac{0.2769-0.3452-(-0.05)}{(0.3154)(1-0.3154)(\\frac{1}{195} + \\frac{1}{252})} = -0.4129"
iii. Using P-value calculator
Z=-0.4129
For left-tailed test P=0.3398
iv.
α=5%=0.05
0.3398>0.05
p>α
H0 is accepted.
There is not enough evidence to support the claim that the proportion of unemployed non-science male graduates is 5 percent less than the proportion of science male graduates at 5% significance level.
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