Final answer:
To find the value of the test statistic, we need to use the one-proportion z-test formula. Plugging in the given values, we find that the value of the test statistic is approximately -2.83.
Step-by-step explanation:
To find the value of the test statistic, we need to use the one-proportion z-test formula. The formula is:
Z = (p - P) / √((P * (1 - P)) / n)
where p is the sample proportion (89% or 0.89), P is the hypothesized population proportion (95% or 0.95), and n is the sample size (1114).
Plugging in the values, we get:
Z = (0.89 - 0.95) / √((0.95 * (1 - 0.95)) / 1114)
Z = -0.06 / √((0.95 * 0.05) / 1114)
Z = -0.06 / √(0.0475 / 1114)
Z = -0.06 / √0.000042615
Z ≈ -2.83
Therefore, the value of the test statistic is approximately -2.83.