"\\bold {Answer}"
The 95% Confidence interval "=(\\$5.60, \\space \\$6.40)"
"\\bold {Solution}"
Since the sample size (n) is less than 30, we use the t-statistic to compute the required confidence interval (CI).
"CI: \\space \\mu = \\bar{x} \\pm t_{\\alpha\/2} \\big(\\dfrac {s}{\\sqrt {n}} \\bigl)"
We are provided:
"\\bar {x} = \\$6"
"s = \\$1"
"n = 27"
Degrees of freedom:
"\\nu = n -1"
"= 27 -1"
"= 26"
"\\alpha = 1 -0.95"
"= 0.05"
"\\alpha\/2 = \\dfrac {0.05}{2}"
"= 0.025"
"t_{0.025} (26) = 2.056" (shown on the table provided below)
"Thus, \\space \\mu = \\bar {x} \\pm t_{\\alpha\/2} \\big(\\dfrac {s}{\\sqrt {n}} \\big)"
"= 6 \\pm 2.056 \\big (\\dfrac {1}{\\sqrt {27}} \\big)"
"= 6 \\pm 0.3956773844"
Lower Limit:
"\\mu = 6-0.3956773844"
"= \\$5.604322615"
"\\approx \\$5.60"
Upper Limit:
"\\mu = 6 + 0.3956773844"
"= \\$6.3956773844"
"\\approx \\$6.40"
Confidence Interval:
"\\mu" lies in the interval "(\\$5.60, \\space \\$6.40)"
Therefore, the value of the mean cost of a fast food meal in Ba is contained in the interval ($5.60, $6.40) with 95% confidence.
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