Westonci.ca is the premier destination for reliable answers to your questions, brought to you by a community of experts. Discover comprehensive solutions to your questions from a wide network of experts on our user-friendly platform. Join our platform to connect with experts ready to provide precise answers to your questions in different areas.

Suppose you use computer technology to simulate results under the null hypothesis. After 3000 simulations, you find that 48 of the 3000 simulations produced a difference of more than our observed difference, |p^Millennial−p^Older|, and 46 of the 3000 simulations produced a difference less than the opposite of our observed difference, −|p^Millennial−p^Older|.
Use the results of the simulation to calculate the p-value.

Sagot :

The p-value of the test hypothesis is: 0.968.

-----------------------

At the null hypothesis, we test that the proportions are equal, that is:

[tex]p_1 = p_2 \rightarrow p_1 - p_2 = 0[/tex]

At the alternative hypothesis, we test that the proportions are different, that is:

[tex]p_1 - p_2 \neq 0[/tex]

The test statistic is:

[tex]Z = \frac{X - \mu}{s}[/tex]

In which:

  • X is the difference of the two proportions.
  • [tex]\mu[/tex] is the value tested at the hypothesis.
  • s is the standard error of the difference of the proportions.

The proportions are:

[tex]p_1 = \frac{48}{3000} = 0.016[/tex]

[tex]p_2 = \frac{46}{3000} = 0.0153[/tex]

The parameters are:

[tex]X = p_1 - p_2 = 0.016 - 0.0153 = 0.0007 [/tex]

[tex]s = \sqrt{p_1^2 + p_2^2} = \sqrt{0.0016^2 + 0.0153^2} = 0.0154[/tex]

  • 0 is tested at the hypothesis, thus [tex]\mu = 0[/tex]

The value of the test statistic is:

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{0.0007 - 0}{0.0154}[/tex]

[tex]Z = 0.04[/tex]

We are testing if the proportions are different, thus the p-value is P(|Z| > 0.04).

  • Looking at the z-table, Z = -0.04 has a p-value of 0.484.
  • 2 x 0.484 = 0.968

The p-value is of 0.968.

A similar problem is given at https://brainly.com/question/24350184