A random of 25 observations was drawn from a normal population. The sample mean and the sample standard deviation are 52 and 15 accordingly. Is there enough evidence at 10% significance level to infer that the population mean is not equal to 50? Estimate the population mean as well.
Let "\\mu=52,~\\sigma=15,~n=25"
t-value for n - 1 = 24 degrees of freedom and 10% significance level is 1.318.
With given significance level population mean belongs to the interval "\\mu\\pm t\\frac{\\sigma}{\\sqrt{n}}=52\\pm1.318\\frac{15}{\\sqrt{24}}=52\\pm4.04."
The value of 50 fits into this interval, so we cannot infer that the population mean is not equal to 50.
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