Consider the following problem that tests a hypothesis:
A random sample of 600 teens with Facebook profiles found that 395 included photos of themselves. Let
be the proportion of teen Facebook users who included photos of themselves a profile pictures. At
significance level , is the sample showing strong evidence that is more than 0.59 ?
Is this testing hypothesis problem a (left-tail, right-tail, 1-tail, 2-tail) test?
left-tail test
1-tail test
2-tail test
right-tail test
Not enough information to determine.

Ask by Campos Hanson. in the United States

Mar 21,2025

Question

Consider the following problem that tests a hypothesis:
A random sample of 600 teens with Facebook profiles found that 395 included photos of themselves. Let
be the proportion of teen Facebook users who included photos of themselves a profile pictures. At
significance level , is the sample showing strong evidence that is more than 0.59 ?
Is this testing hypothesis problem a (left-tail, right-tail, 1-tail, 2-tail) test?
left-tail test
1-tail test
2-tail test
right-tail test
Not enough information to determine.

Ask by Campos Hanson. in the United States

Mar 21,2025

UpStudy AI · Accepted Answer

**Step 1. Define the hypotheses**  
We denote by $$ p $$ the true proportion of teen Facebook users who include photos of themselves as profile pictures. The problem tests if $$ p $$ is more than 0.59. Thus, the hypotheses are:  
$$
H_0: p = 0.59
$$
$$
H_A: p > 0.59
$$

**Step 2. Identify the type of test**  
Since the alternative hypothesis is $$p > 0.59$$, this is a one-tailed test. Specifically, it is a **right-tail test** because we are testing for an increase above 0.59.

**Step 3. Conclusion**  
Among the provided choices, the correct answer is:  
- right-tail test

Thus, the hypothesis testing problem is a right-tail test.
This is a right-tail test.

Solución de inteligencia artificial de Upstudy

Responder

Solución

Mind Expander

preguntas relacionadas

Latest Statistics Questions