Final answer:
To calculate the z critical value for an 80% confidence interval, we look for a z-score that represents the central 80% of the normal distribution, leaving 5% in each tail. This value is approximately 1.282.
Step-by-step explanation:
To find the z critical value for an 80% confidence interval, we need to determine the z-score that corresponds to the central 80% of the standard normal distribution. This means that we want to find the z-scores that leave 10% of the distribution's area in the tails (5% in each tail since the normal distribution is symmetrical).
Using a standard normal distribution table or a calculator that provides z-scores for given probabilities, we can locate the z-score that corresponds to the area to the left of the z-score being 0.90. This is because 0.90 represents the area to the left of the positive z critical value plus the 0.10 in the tails. Thus, the z critical value for an 80% confidence interval is approximately 1.282.
To explain this further with an example, if we have a sample mean of 70 and a sample standard deviation of 20, and we want an 80% confidence interval for the true mean, we multiply our z critical value by the sample standard deviation and then add and subtract this margin of error from the sample mean to get our confidence interval.