Answer:
A)Null hypothesis; μ ≥ 6.8
Alternative hypothesis; μ < 6.8
B) The decision rule is that we reject the null hypothesis for all z-scores less than - 1.65
C)test statistic: z = -2
D) We reject Null hypothesis H0.
E) P-value ≈ 0.0228
Explanation:
We are given;
Sample size; n = 36
Population mean; μ = 6.8
Sample mean; x¯ = 6.2
Standard deviation; σ = 1.8
A) Let's state the hypotheses;
Null hypothesis; μ ≥ 6.8
Alternative hypothesis; μ < 6.8
B) The significance level is 0.05.
Let us find out the z-score that corresponds to a probability of 1 - 0.5 - 0.05 = 0.45 in the normal probability table attached.
From the table attached, we can that the corresponding z-score is approximately 1.6 + 0.05 = 1.65
The alternative hypothesis contains less than symbol which means this test is left tailed.
Thus, the rejection region includes all z-scores that are smaller than -1.65. Which means we reject the null hypothesis for all z-scores less than - 1.65
C) Formula for the test statistic is;
z = (x¯ - μ)/(σ/√n)
z = (6.2 - 6.8)/(1.8/√36)
z = -0.6/0.3
z = -2
D) The test statistic gotten is z = -2
This is less than the z-score for the rejection the rejection region is answer B above.
Thus, we reject the null hypothesis.
E) from online p-value from z-score calculator attached , using; z = -2; significance value = 0.05, one tailed hypothesis, we have;
P-value = 0.02275
To 4 decimal places gives;
P-value ≈ 0.0228