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IrinaK [193]
3 years ago
9

A university surveyed recent graduates of the English department about their starting salaries. Four hundred graduates returned

the survey. The average salary was $25,000. Assume for purposes of this problem that the population standard deviation is known, and it is $2,500. What is the 95% confidence interval for the mean salary of all graduates from the English department?
Mathematics
1 answer:
Dafna1 [17]3 years ago
8 0

Answer:   (24755, 25245)

Step-by-step explanation:

Given : Sample size : n= 400

Sample mean : \overline{x}= \$25,000

Standard deviation : \sigma=\$2,500

Significance level : \alpha: 1-0.95=0.05

Critical value : z_{\alpha/2}=1.96

The confidence interval for population mean is given by :-

\overline{x}\pm\ z_{\alpha/2}\dfrac{\sigma}{\sqrt{n}}\\\\=25000\pm(1.96)\dfrac{2500}{\sqrt{400}}\\\\=25000\pm245\\\\=(25000-245,\ 25000+245)=(24755,\ 25245)

Hence, the 95% confidence interval for the mean salary of all graduates from the English department is (24755, 25245)

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Answer:

113.7-2.154\frac{9.1}{\sqrt{29}}=110.06    

113.7+2.154\frac{9.1}{\sqrt{29}}=117.34    

And the 96% confidence is given by (110.06; 117.34)

Step-by-step explanation:

Information given

\bar X=113.7 represent the sample mean

\mu population mean (variable of interest)

s=9.1 represent the sample standard deviation

n=29 represent the sample size  

Confidence interval

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

The degrees of freedom are given by:

df=n-1=29-1=28

The Confidence is 0.96 or 96%, the significance is \alpha=0.04 and \alpha/2 =0.02, and the critical value would be t_{\alpha/2}=2.154

Replacing the info we got:

113.7-2.154\frac{9.1}{\sqrt{29}}=110.06    

113.7+2.154\frac{9.1}{\sqrt{29}}=117.34    

And the 96% confidence is given by (110.06; 117.34)

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