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At a particular academically challenging high school, the average gpa of a high school senior is known to be normally distributed. after a sample of 20 seniors is taken, the average gpa is found to be 2.71 and the variance is determined to be 0.25. find a 90% confidence interval for the population mean gpa.

User Pavling
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2 Answers

3 votes

Solution: The 90% confidence interval for the population mean is:


\bar{x} \pm t_{(0.1)/(2)} (s)/(√(n))

Where:


\bar{x}=2.71


s=√(0.25) =0.5


t_{(0.1)/(2)}=1.729 is the critical value at 0.1 significance level for df = n-1 =20-1=19


2.71 \pm 1.729 (0.5)/(√(20))


2.71 \pm0.19


\left( 2.71-0.19,2.71+0.19\right)


\left(2.52,2.90 \right)

Therefore, the 90% confidence interval for the population mean is
\left(2.52,2.90 \right)


User Fantabolous
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8.5k points
7 votes

Answer:

The 90% confidence interval for the population mean gpa is [2.526,2.894].

Explanation:

The confidence interval for population mean is


\mu\pm z^(*)\cdot (\sigma)/(√(n))

Where, μ is population mean, σ is standard deviation, z* is the value of z-score and n is number of samples.

The z-score value for 90% confidence interval is 1.645.

The average gpa is found to be 2.71, so μ=2.71. The variance is 0.25, it means


\sigma^2=0.25


\sigma=0.5

The 90% confidence interval for population mean is


2.71\pm 1.645\cdot (0.5)/(√(20))


[2.71-1.645\cdot (0.5)/(√(20)),2.71+1.645\cdot (0.5)/(√(20))]


[2.526,2.894]

Therefore the 90% confidence interval for the population mean gpa is [2.526,2.894].

User NayabSD
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8.3k points