Questions: If n=10, x̄(x-bar)=36, and s=7, construct a confidence interval at a 80% confidence level. Assume the data came from a normally distributed population. Give your answers to one decimal place. <μ<

If n=10, x̄(x-bar)=36, and s=7, construct a confidence interval at a 80% confidence level. Assume the data came from a normally distributed population.

Give your answers to one decimal place. 

<μ<
Transcript text: If $\mathrm{n}=10, \bar{x}(\mathrm{x}-\mathrm{bar})=36$, and $s=7$, construct a confidence interval at a $80 \%$ confidence level. Assume the data came from a normally distributed population. Give your answers to one decimal place. $\square$ $<\mu<$ $\square$
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Solution

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Solution Steps

To construct a confidence interval for the population mean when the sample size is small and the population standard deviation is unknown, we use the t-distribution. Given the sample size n=10 n = 10 , sample mean xˉ \bar{x} , sample standard deviation s=7 s = 7 , and the confidence level of 80%, we can find the t-critical value from the t-distribution table. The confidence interval is then calculated using the formula:

xˉ±t(sn) \bar{x} \pm t^* \left(\frac{s}{\sqrt{n}}\right)

where t t^* is the t-critical value for 9 degrees of freedom (since n1=9 n-1 = 9 ) at the 80% confidence level.

Step 1: Given Values

We are given the following values:

  • Sample size: n=10 n = 10
  • Sample standard deviation: s=7 s = 7
  • Confidence level: 80% 80\%
  • The expression xˉ(xbar)=36 \bar{x}(\mathrm{x}-\mathrm{bar}) = 36 implies that the sample mean is calculated as xˉ=36n=3610=3.6 \bar{x} = \frac{36}{n} = \frac{36}{10} = 3.6 .
Step 2: Degrees of Freedom and t-Critical Value

The degrees of freedom for our sample is calculated as: df=n1=101=9 df = n - 1 = 10 - 1 = 9 Using the t-distribution for df=9 df = 9 at a confidence level of 80% 80\% , we find the t-critical value: t1.3830 t^* \approx 1.3830

Step 3: Margin of Error Calculation

The margin of error (ME) is calculated using the formula: ME=t(sn) ME = t^* \left(\frac{s}{\sqrt{n}}\right) Substituting the values: ME1.3830(710)3.0615 ME \approx 1.3830 \left(\frac{7}{\sqrt{10}}\right) \approx 3.0615

Step 4: Confidence Interval Calculation

The confidence interval for the population mean μ \mu is given by: xˉ±ME \bar{x} \pm ME Calculating the lower and upper bounds: Lower Bound=xˉME3.63.06150.5385 \text{Lower Bound} = \bar{x} - ME \approx 3.6 - 3.0615 \approx 0.5385 Upper Bound=xˉ+ME3.6+3.06156.6615 \text{Upper Bound} = \bar{x} + ME \approx 3.6 + 3.0615 \approx 6.6615

Final Answer

Thus, the confidence interval for the population mean μ \mu at an 80% 80\% confidence level is: 0.5385<μ<6.6615 \boxed{0.5385 < \mu < 6.6615}

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