Answer :
The Z-value of 2.58 implies a 97.72% confidence interval. This is because the Z-value of 2.58 corresponds to a probability of 0.9974 (which is 1 - 0.0026). This 0.9974 probability is equivalent to a 97.72% confidence interval.
The Z-value of 2.58 corresponds to a probability of 0.9974 (or 1 - 0.0026). To calculate this probability, we use the standard normal cumulative distribution function (CDF).
Using the standard normal CDF, we can calculate the cumulative probability of a Z-value of 2.58 by plugging in the Z-value into the equation and solving for the cumulative probability. The standard normal CDF is given by the following equation:
P(Z <= z) = 1 - 1/2*(1 + erf(z/sqrt(2)))
Plugging in the Z-value of 2.58 into the equation, we get:
P(Z <= 2.58) = 1 - 1/2*(1 + erf(2.58/sqrt(2)))
Solving for the cumulative probability, we get:
P(Z <= 2.58) = 0.9974
This 0.9974 probability is equivalent to a 97.72% confidence interval.
Learn more about probability here
https://brainly.com/question/11234923
#SPJ4