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The true mean hours of sleep a night for college students in the United States is 6.2 hours. Suppose you want to use a hypothesis test to determine whether the mean hours of sleep a night for BYU-Idaho students is higher than the national mean. Which of the following pairs of hypotheses is the most appropriate for addressing this question?

A. [tex]H_0: \mu = 6.2 \quad H_a: \mu > 6.2[/tex]
B. [tex]H_0: \mu > 6.2 \quad H_a: \mu = 6.2[/tex]
C. [tex]H_0: \mu = 6.2 \quad H_a: \mu \neq 6.2[/tex]
D. [tex]H_0: \mu \neq 6.2 \quad H_a: \mu = 6.2[/tex]
E. [tex]H_0: \mu = 6.2 \quad H_a: \mu < 6.2[/tex]
F. [tex]H_0: \mu < 6.2 \quad H_a: \mu = 6.2[/tex]

Answer :

Answer:

H0: mu = 6.2 qquad Ha: mu > 6.2

Step-by-step explanation:

A null hypothesis is a statement from a population parameter which is either rejected or accepted (fail to reject) upon testing. It is identified by the equality sign.

An alternate hypothesis is also a statement from a population parameter which negates the null hypothesis and is accepted if the null hypothesis is rejected. It is identified by any of the inequality signs.

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