A researcher was interested in studying Americans email habits. She suspected that Americans spend less than 7 hours a week answering their email.The General Social Survey in 2004 included a question that asked about the number of hours that the respondent spend on email per week. The General Social Survey in 2002 asked 1,264 respondents this question. The sample mean number of hours was 6.02 and the sample standard deviation was 7.80. Find the test statistic.

A. -4.47

B. 4.47

C. 5.99

D. -5.99

E. 1.96

Respuesta :

Answer: A. -4.47

Step-by-step explanation:

As per given , we have

[tex]H_0: \mu\geq7\\\\ H_a: \mu<7[/tex]

sample size : n= 1264

Sample mean : [tex]\overline{x}=6.02[/tex]

Sample standard deviation : s=7.80

Since the population standard deviation is unknown , so we use t-test.

Test statistic : [tex]t=\dfrac{\overline{x}-\mu}{\dfrac{s}{\sqrt{n}}}[/tex]

[tex]t=\dfrac{6.02-7}{\dfrac{7.80}{\sqrt{1264}}}[/tex]

Simplify , we get

[tex]t=-4.46688745075\approx-4.47[/tex]

Hence, the test statistic : t= -4.47

Using the t-distribution, as we have the standard deviation for the sample, it is found that the test statistic is given by:

A. -4.47

What are the hypothesis tested?

At the null hypothesis, it is tested if they spend 7 hours a week answering their email, that is:

[tex]H_0: \mu = 7[/tex]

At the alternative hypothesis, it is tested if they spend less than 7 hours, that is:

[tex]H_1: \mu < 7[/tex].

What is the test statistic?

The test statistic is given by:

[tex]t = \frac{\overline{x} - \mu}{\frac{s}{\sqrt{n}}}[/tex]

The parameters are:

  • [tex]\overline{x}[/tex] is the sample mean.
  • [tex]\mu[/tex] is the value tested at the null hypothesis.
  • s is the standard deviation of the sample.
  • n is the sample size.

In this problem, the parameters are given as follows:

[tex]\overline{x} = 6.02, \mu = 7, s = 7.8, n = 1264[/tex]

Hence, the test statistic is:

[tex]t = \frac{\overline{x} - \mu}{\frac{s}{\sqrt{n}}}[/tex]

[tex]t = \frac{6.02 - 7}{\frac{7.8}{\sqrt{1264}}}[/tex]

[tex]t = -4.47[/tex]

Thus, option A is correct.

To learn more about the t-distribution, you can check https://brainly.com/question/16313918