A random sample of 16 values from a normal population showed a mean 41.5 inches and sum of squares of deviations from this mean equal to 135 square inches. Show that assumption of a mean of 43.5 inches for the population is not reasonable. Obtain 95% and 99% confidence limits for same.
"\\bar{x} =41.5 \\\\\n\ns = \\sqrt{\\frac{135}{16-1}}=3 \\\\\n\nn=16"
Confidence interval:
"CI = \\bar{x} \u00b1" Margin of error (E)
Standard error "sx = \\frac{s}{\\sqrt{n}}"
df= n-1=15
Critical value for 95% confidence interval "t_c=2.49"
"CI = 41.5 \u00b1 2.490 \\times 0.75 \\\\\n\nCI = 41.5 \u00b1 1.8674 \\\\\n\nCI =(39.632, 43.367)"
Critical value for 99% confidence interval "t_c=3.286"
"CI = 41.5 \u00b1 3.286 \\times 0.75 \\\\\n\nCI = 41.5 \u00b1 2.4645 \\\\\n\nCI =(39.035, 43.964)"
The assumption of a mean of 43.5 is NOT reasonable at 95% confidence interval as it does not fall within the interval range.
The assumption of a mean of 43.5 is reasonable at 99% confidence interval as it falls within the interval range.
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