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vodomira [7]
3 years ago
12

Suppose that textbook weights are normally distributed. You measure 33 textbooks' weights, and find they have a mean weight of 7

5 ounces. Assume the population standard deviation is 13.3 ounces. Based on this, construct a 99% confidence interval for the true population mean textbook weight. Round answers to 2 decimal places.
Mathematics
1 answer:
AleksAgata [21]3 years ago
6 0

Answer:

75-2.58\frac{13.3}{\sqrt{33}}=69.027    

75+2.58\frac{13.3}{\sqrt{33}}=80.793    

And the 95% confidence interval would be between (69.027;80.793)    

Step-by-step explanation:

Information given

\bar X=75 represent the sample mean

\mu population mean (variable of interest)

\sigma=13.3 represent the population standard deviation

n=33 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=33-1=32

The Confidence level is 0.99 or 99%, the significance would be \alpha=0.01 and \alpha/2 =0.005, the critical value for this case would be z_{\alpha/2}=2.58

And replacing we got:

75-2.58\frac{13.3}{\sqrt{33}}=69.027    

75+2.58\frac{13.3}{\sqrt{33}}=80.793    

And the 95% confidence interval would be between (69.027;80.793)    

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