Correct clear question is;
The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? H_0: μ = 5 H_1: μ ≠ 5
Is the hypothesis test left-tailed, right tailed, or two tailed? A Left tailed B Right tailed C Two tailed
What parameter is being used? A population proportion B population mean C standard deviation
Answer:
A) C - Two tailed hypothesis
B) B - Population mean
Step-by-step explanation:
We are given the hypotheses to be;. Null Hypothesis; H_0: μ = 5
Alternative hypothesis; H_1: μ ≠ 5
From the alternative hypothesis, we can see that the critical area of distribution of the parameter being tested could either be less than 5 or greater than 5 due to the not equal to sign. This means it could either be left tailed or right tailed. Thus, it is a two tailed hypothesis.
From the hypothesis, we see that the symbol μ is being used.
In statistics, μ is generally used as a symbol to denote population mean.
Thus, parameter being used/tested is population mean
