A research company desires to know the mean consumption of meat per week among people over age 29. A sample of 2092 people over age 29 was drawn and the mean meet consumption was 2.9 pounds. Assume that the standard deviation is known to be 1.4 pounds. Construct a 95% confidence interval for the mean consumption of meat among people over age 29. Round your answer to one decimal place.

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Answer:

The 95% confidence interval for the mean consumption of meat among people over age 29 is between 2.8 pounds and 3 pounds.

Step-by-step explanation:

We have that to find our [tex]\alpha[/tex] level, that is the subtraction of 1 by the confidence interval divided by 2. So:

[tex]\alpha = \frac{1-0.95}{2} = 0.025[/tex]

Now, we have to find z in the Ztable as such z has a pvalue of [tex]1-\alpha[/tex].

So it is z with a pvalue of [tex]1-0.025 = 0.975[/tex], so [tex]z = 1.96[/tex]

Now, find the margin of error M as such

[tex]M = z*\frac{\sigma}{\sqrt{n}}[/tex]

In which [tex]\sigma[/tex] is the standard deviation of the population and n is the size of the sample.

[tex]M = 1.96*\frac{1.4}{\sqrt{2092}} = 0.1[/tex]

The lower end of the interval is the sample mean subtracted by M. So it is 2.9 - 0.1 = 2.8 pounds

The upper end of the interval is the sample mean added to M. So it is 2.9 + 0.1 = 3 pounds.

The 95% confidence interval for the mean consumption of meat among people over age 29 is between 2.8 pounds and 3 pounds.

Answer:

[tex]2.9-1.96\frac{1.4}{\sqrt{2092}}=2.84[/tex]    

[tex]2.9+1.96\frac{1.4}{\sqrt{2092}}=2.96[/tex]    

The confidence interval is given by [tex]2.84 \leq \mu \leq 2.96[/tex]

Step-by-step explanation:

Information given

[tex]\bar X=2.9[/tex] represent the sample mean

[tex]\mu[/tex] population mean

[tex]\sigma =1.4[/tex] represent the population standard deviation

n=2092 represent the sample size  

Confidence interval

The confidence interval is given by:

[tex]\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}[/tex]   (1)

Since the Confidence interval is 0.95 or 95%, the significance is [tex]\alpha=0.05[/tex] and [tex]\alpha/2 =0.025[/tex], and the critical value would be [tex]z_{\alpha/2}=1.96[/tex]

Replacing the info we got:

[tex]2.9-1.96\frac{1.4}{\sqrt{2092}}=2.84[/tex]    

[tex]2.9+1.96\frac{1.4}{\sqrt{2092}}=2.96[/tex]    

The confidence interval is given by [tex]2.84 \leq \mu \leq 2.96[/tex]

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