Answer:
Hence, We REJECT the NULL HYPOTHESIS, Which means there is a SIGNIFICANT DIFFERENCE.
Set up the Hypothesis
Null Hypothesis (H0): There is no significant difference ( μ = 0 )
Alternative Hypothesis (H1): There is a significant difference ( μ ≠ 0 )
- Calculate the test Statistics:
Given: x = 3.50, s = 1.10, n = 12, ∝ = 0.05 ( two-tailed -test)
- Calculate the t - value using the formula:
t = x - μ / s /√n
t = 3.50 - 0 / 1.10 /√12
t ≈ 9.57
- Determine the critical value:
For a Two-Tailed Test with ∝ = 0.05 and degrees of freedom
(df) = n - 1 = 12 - 1 = 11, We can look up the critical value in a t-distribution table or use a calculator.
- The critical value is approximately:
± 2.201
- Compare Test Statistic to Critical Value:
Since the calculated t- value (9.57) is greater than the critical value (2.201), We Reject the Null Hypothesis.
Hence, We REJECT the NULL HYPOTHESIS, Which means there is a SIGNIFICANT DIFFERENCE.
I hope this helps!