A fast food restaurant executive wishes to know how many fast food meals adults eat each week. They want to construct a 85% confidence interval for the mean and are assuming that the population standard deviation for the number of fast food meals consumed each week is 1.3. The study found that for a sample of 548 adults the mean number of fast food meals consumed per week is 5.6. Construct the desired confidence interval. Round your answers to one decimal place.

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Answer:

The 85% confidence interval for the mean is between 5.5 and 5.7 fast food meals consumed per week.

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{1-0.85}{2} = 0.075[/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]1-0.075 = 0.925[/tex], so [tex]z = 1.44[/tex]

Now, find 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 = 1.44*\frac{1.3}{\sqrt{548}} = 0.08[/tex]

The lower end of the interval is the sample mean subtracted by M. So it is 5.6 - 0.08 = 5.52 = 5.5.

The upper end of the interval is the sample mean added to M. So it is 5.6 + 0.08 = 5.7.

The 85% confidence interval for the mean is between 5.5 and 5.7 fast food meals consumed per week.