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.)

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.)
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Solution

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Solution Steps

Step 1: Given Information

We are provided with the following values:

  • Sample mean Xˉ=79 \bar{X} = 79
  • Sample standard deviation S=14 S = 14
  • Sample size n=25 n = 25
  • Confidence level = 90% 90\%
Step 2: Determine the Critical Value

For a 90% 90\% confidence level, the significance level α \alpha is calculated as: α=10.90=0.10 \alpha = 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 t -distribution. The critical value t t for n1=24 n - 1 = 24 degrees of freedom at α/2=0.05 \alpha/2 = 0.05 is approximately 1.71 1.71 .

Step 3: Calculate the Standard Error

The standard error (SE) is calculated using the formula: SE=Sn=1425=145=2.8 SE = \frac{S}{\sqrt{n}} = \frac{14}{\sqrt{25}} = \frac{14}{5} = 2.8

Step 4: Construct the Confidence Interval

The confidence interval is given by the formula: Xˉ±tSE \bar{X} \pm t \cdot SE Substituting the values: 79±1.712.8 79 \pm 1.71 \cdot 2.8 Calculating the margin of error: 1.712.8=4.788 1.71 \cdot 2.8 = 4.788 Thus, the confidence interval becomes: 794.788μ79+4.788 79 - 4.788 \leq \mu \leq 79 + 4.788 Calculating the bounds: 74.212μ83.788 74.212 \leq \mu \leq 83.788

Step 5: Round the Results

Rounding to two decimal places, we have: (74.21,83.79) (74.21, 83.79)

Final Answer

The 90% 90\% confidence interval estimate of the population mean μ \mu is: (74.21,83.79) \boxed{(74.21, 83.79)}

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