Sony would like to test the hypothesis that the average age of a PlayStation user is different from the average age of an Xbox user. A random sample of 36 PlayStation users had an average age of 34.2 years while a random sample of 30 Xbox users had an average age of 32.7 years. Assume that the population standard deviation for the age of PlayStation and Xbox users is 3.9 and 4.0 years, respectively. Sony would like to set α = 0.10. Which one of the following statements is true?

(A) Because the p-value is less than α, we reject the null hypothesis and can conclude that the average age of PlayStation users is different from the average age of Xbox users.
(B) Because the p-value is less than α, we fail to reject the null hypothesis and conclude that the average age of PlayStation users is equal to the average age of Xbox users.
(C) Because the p-value is greater than α, we fail to reject the null hypothesis and cannot conclude that the average age of PlayStation users is different from the average age of Xbox users.
(D) Because the p-value is greater than α, we fail to reject the null hypothesis and can conclude that the average age of PlayStation users is different from the average age of Xbox users.

Respuesta :

Answer:

(C) Because the p-value is greater than α, we fail to reject the null hypothesis and cannot conclude that the average age of PlayStation users is different from the average age of Xbox users.

Step-by-step explanation:

The t-statistic for difference of mean is given by,

[tex]t=\frac{\bar{x_{1}}-\bar{x_{2}}}{\sqrt{\frac{s_{1}^{2}}{n_{1}}+\frac{s_{2}^{2}}{n_{2}}}}[/tex]

Using this formula, we get, t = 1.5342

Thus, p-value = 0.1322 with 64 degree of freedom.

and α = 0.10

Since, the p-value is greater than alpha (p > .05), then we fail to reject the null hypothesis, and we say  that the result is statistically non-significant.