A random sample of 100 recorded deaths in the country in 2011 showed an average lifespan of 71.8 years with a standard deviation of 8.9 years. Does this seem to indicate that the average lifespan today is greater than 70 years? Use 0.05 as level of significance.
We are given that,
"\\bar{x}=71.8,\\space s=8.9,\\space n=100"
The hypotheses tested are,
"H_0:\\mu=70\\space vs H_1:\\mu\\gt 70"
To perform this test, we shall apply the one sample t-test for the population mean as follows.
The test statistic is given as,
"t_c=(\\bar{x}-\\mu)\/(s\/\\sqrt{n})"
"t_c=(71.8-70)\/(8.9\/\\sqrt{100})=1.8\/0.89=2.0225(4dp)"
"t_c" is compared with the t table value with "(n-1)=100-1=99" degrees of freedom at "\\alpha=0.05" given by,
"t_{0.05,99}=1.660391" and the null hypothesis is rejected if "t_c\\gt t_{0.05,99}."
Since "t_c=2.0225\\gt t_{0.05,99}=1.660391," we reject the null hypothesis and conclude that there is sufficient evidence to indicate that the average lifespan today is greater than 70 years at 5% level of significance.
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