A study on students drinking habits wants to determine the true average number of alcoholic drinks all fsu undergraduate students have in a one week period. We know from preliminary studies that the standard deviation is around 2. How many students should be sampled to be within 1 drink of population mean with 95% probability?

Respuesta :

Answer:

16

Step-by-step explanation:

Standard deviation is 2

Margin error for the problem is 1

Probability 95%, that means thet the siginficance level α is 1 – p

α = 1 – 0.95 = 0.05

margin of error (ME) can be defined as follows

ME = Z(α/2) * standard deviation/ √n

Where n is the sample size

Z(0.05/2) = Z(0.025)

Using a z table Z = 1.96

Now, replacing in the equation and find n

1 = 1.96 * 2/ √n

1 = 3.92 / √n

√n = 3.92

n = 3.92^2

n = 15.36 = 16

Using the z-distribution, it is found that 16 students should be sampled.

The margin of error of a z-confidence interval is given by:

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

In which:

  • z is the critical value.
  • [tex]\sigma[/tex] is the population standard deviation.
  • n is the sample size.

The first step is finding the critical value, which is z with a p-value of [tex]\frac{1 + \alpha}{2}[/tex], in which [tex]\alpha[/tex] is the confidence level.

In this problem, [tex]\alpha = 0.95[/tex], thus, z with a p-value of [tex]\frac{1 + 0.95}{2} = 0.975[/tex], which means that it is z = 1.96.

Estimate of the standard deviation of 2, thus, [tex]\sigma = 2[/tex].

We want the sample for a margin of error of 1, thus, we have to solve for n when [tex]M = 1[/tex].

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

[tex]1 = 1.96\frac{2}{\sqrt{n}}[/tex]

[tex]\sqrt{n} = 1.96(2)[/tex]

[tex](\sqrt{n})^2 = [1.96(2)]^2[/tex]

[tex]n = 15.4[/tex]

Rounding up:

16 students should be sampled.

A similar problem is given at https://brainly.com/question/14936818

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