Answer: c. μ ≥ 103
Step-by-step explanation:
We know that , the null hypothesis and alternative hypothesis basically describes the objective for the test and contains the population parameter but both are against to each other.
Null hypothesis takes '=' , '≤' , '≥' signs .
Alternative hypothesis takes '≠' , '<' , '>' signs.
As per given , we have
A researcher selects a sample of n = 25 individuals from a population with a mean of μ = 103 and administers a treatment to the sample.
If the research predicts that the treatment will decrease scores i..e μ < 103.
i.e. Alternative hypothesis : [tex]H_a: \mu <103[/tex]
Against this the treatment can increase the scores or remains equal.
i.e. Null hypothesis will be : [tex]H_0: \mu \geq103[/tex] (Opposite of alternative hypothesis)
Hence, the correct answer = c. μ ≥ 103
