A company produced ethyl alcohol and claimed to have a mean alcohol content of
70%. A random sample of 80 of ethyl alcohol was take as sample to verify this claim. It
was found out that the mean alcohol content is 65% with a standard deviation of 2%. Test
the claim at 5% level of significance and assume that the population is normally
distributed
Given claim
The mean alcohol content in ethyl alcohol produced by company is of 70%.
The null and alternate hypothesis are shown below
"H_0: \u03bc=70 \\\\\n\nH_a: \u03bc\u226070"
The sample mean alcohol content is \bar{X}=65% and standard deviation is σ=2%
The level of significance is 5%.
The population is normally distributed and as the sample size is high the sample is also treated as normally distributed.
The test statistic is calculated as shown below
"Z= \\frac{\\bar{X} \\mu}{\\sigma} \\\\\n\nZ= \\frac{65-70}{2}=-2.5"
This is a two tailed hypothesis test.
P-value "=2 \\times P(Z<-2.5)"
With respect to Z table we get P(Z<-2.5)=0.0062
So p value is calculated as shown below
p-value "=2 \\times P(Z< -2.5)=2 \\times 0.0062=0.0124"
The p-value 0.0124 is less than the level of significance 0.05 or 5%. Thus we have sufficient evidence to reject the null hypothesis. So we conclude that the alcohol content in ethyl alcohol produced by company is not 70%.
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