The number of carbohydrates found in a random sample of fast-food entrees is listed below. Is there sufficient evidence to conclude that the variance differs from 100? use the 0.05 level of significance.
53 46 39 39 30
47 38 73 43 41
x= number of carbohydrates
"n=10 \\\\\n\n\\bar{x}= \\frac{53+46+...+43+41}{10}=44.9 \\\\\n\nS^2 = \\frac{1}{n-1} \\sum (x_i - \\bar{x})^2 \\\\\n\nS^2 = \\frac{1}{10-1} \\times ((53-44.9)^2 + (46-44.9)^2+...+(43-44.9)^2 + (41-44.9)^2) = 135.53"
We have to test:
"H_0: \\sigma^2=100 \\\\\n\nH_1: \\sigma^2 \u2260 100 \\\\\n\n\u03b1=0.05"
Test-statistic:
"\u03c7^2 = \\frac{(n-1)S^2}{\\sigma^2} \\\\\n\n= \\frac{9 \\times 135.43}{100} = 12.188"
Critical value "\u03c7^2_{n-1, \u03b1\/2}=19.023"
"\u03c7^2" < Critical value
Accept H0.
There is not sufficient evidence to conclude that the variance differs from 100.
Comments
Leave a comment