Answer:
Kindly check explanation
Explanation:
Given the following :
Alpha = 0.05
Sample size (n) = 16
Population mean(σ) = 3.29
Sample mean (m) = 2.76
Sample standard deviation (sd) = 1.29
(1)
Null hypothesis : μ ≥ 3.29
Alternative hypothesis : μ < 3.29
(2)
From the t distribution table :
The Null hypothesis should be rejected if
t < - t0
To obtain t0:
Degree of freedom (df) = n - 1 = 16 - 1 = 15 at alpha = 0.05
t0 = 1.753 ( left tailed) = - 1.753
(3)
Value of test statistic:
t = (m - σ) / (sd / √n)
(2.76 - 3.29) / (1.29 / √16)
-0.53 / 0.3225
t = - 1.643
Comparing t < - t0
But : -1.643 > - 1.753
Hence,
t > - t0
Hence, we fail to reject the null hypothesis