The fasting blood sugar (FBS) of 15 randomly selected patients is given below:
110, 118, 130, 140, 142, 146, 112. 100, 95, 98, 96, 122, 123, 124, 130
Do you think that the mean FBS of the patients in the population is 110? It is known that the population variance of FBS is 300.
"n=15 \\\\\n\n\\sigma^2=300 \\\\\n\n\\sigma = 17.32 \\\\\n\n\\bar{x}= \\frac{110+ 118+ ...+ 124+ 130}{15} = 119.06 \\\\\n\nH_0: \\mu = 110 \\\\\n\nH_1: \\mu \u2260 110"
Test-statistic:
"Z= \\frac{\\bar{x} -\\mu}{\\sigma \/ \\sqrt{n}} \\\\\n\nZ = \\frac{119.06 -110}{17.32 \/ \\sqrt{15}} = 2.025"
Let use 1% significant level.
Two-tailed test.
Reject H0 if Z≤ -2.575 or Z>2.575.
"Z=2.025<Z_{crit}= 2.575"
Accept H0.
There is enough evidence to conclude that the mean FBS of the patients in the population is 110 at 1% significant level.
Comments
Leave a comment