Medical literature tells us that our blood is mainly composed of red and white blood cells corpuscles and a normal human body must average 7250/mm³ of white blood cells counts. If a sample of 15 individuals chosen at a random from a certain place has an average of 4850/mm³ with a standard deviation of 2500/mm³ would you say that the people in that place have low white blood cell counts
"\\mu=7250, \\ n=15, \\ \\bar{x}=4850, \\ s=2500."
The null and alternative hypotheses are
"H_0:\\mu=7250,\\\\\nH_1:\\mu<7250."
Because "\\sigma" is unknown and the population is normally distributed, we use the t-test.
The test is a left-tailed test, let's take the level of significance is "\\alpha=0.01" , the degrees of freedom are d.f. = 15 - 1 = 14. So, using t-table, the critical value is t0 = - 2.624. The rejection region is t < -2.624. The standardized test statistic is
"t=\\cfrac{\\bar{x}-\\mu}{s\/\\sqrt{n}}=\\cfrac{4850-7250}{2500\/\\sqrt{15}}=-3.718<-2.624."
Because t is in the rejection region, we reject the null hypothesis, the people in that place have low white blood cell counts.
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