Questions: If X̄=79, S=14, and n=25, and assuming that the population is normally distributed, construct a 90% confidence interval estimate of the population mean, μ.
≤ μ ≤
(Round to two decimal places as needed.)
Transcript text: If $\bar{X}=79, \mathrm{~S}=14$, and $\mathrm{n}=25$, and assuming that the population is normally distributed, construct a $90 \%$ confidence interval estimate of the population mean, $\mu$.
$\square$ $\leq \mu \leq$ $\square$
(Round to two decimal places as needed.)
Solution
Solution Steps
Step 1: Given Information
We are provided with the following values:
Sample mean Xˉ=79
Sample standard deviation S=14
Sample size n=25
Confidence level = 90%
Step 2: Determine the Critical Value
For a 90% confidence level, the significance level α is calculated as:
α=1−0.90=0.10
Since we are dealing with a small sample size and the population is assumed to be normally distributed, we will use the t-distribution. The critical value t for n−1=24 degrees of freedom at α/2=0.05 is approximately 1.71.
Step 3: Calculate the Standard Error
The standard error (SE) is calculated using the formula:
SE=nS=2514=514=2.8
Step 4: Construct the Confidence Interval
The confidence interval is given by the formula:
Xˉ±t⋅SE
Substituting the values:
79±1.71⋅2.8
Calculating the margin of error:
1.71⋅2.8=4.788
Thus, the confidence interval becomes:
79−4.788≤μ≤79+4.788
Calculating the bounds:
74.212≤μ≤83.788
Step 5: Round the Results
Rounding to two decimal places, we have:
(74.21,83.79)
Final Answer
The 90% confidence interval estimate of the population mean μ is:
(74.21,83.79)