H0: mean fat content of their food products = mean fat content of food products of its main competitors
HA: mean fat content of their food products < mean fat content of food products of its main competitors
Hypothesis testing for two means (σ is unknown, and the variable is normally distributed in the population or n > 30, the same standard deviatioin)
So we use t-test with df = n1 + n2 - 2 = 20 degree of freedom:
"s_p =\\sqrt{\\frac{(n_1-1)s_1^2 + (n_2-1)s_2^2}{n_1+n_2-2}}=1.9558\\\\\nt = \\frac{x_1-x_2}{s_p \\sqrt{\\frac{1}{n_1}+\\frac{1}{n_2}}}=\n\\frac{31.3 - 33.2}{1.9558 \\sqrt{2\/11}}=-2.2783\\\\\nt_{0.05, 20}=-1.7247\\\\\n\\\\\nt<t_{0.05,20}"
Hence, we reject the null hypothesis and accept the alternative hypothesis that the average fat content of their food products is less than that of its main competitors at significant level of 0.05.
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