The correct answer is the margin of error is 0.13.
A population's standard deviation serves as a gauge for how widely distributed its individual data points are. It's a way to express how dispersed from the mean the data is.
To determine if a discovery or association is statistically significant or not, hypothesis testing uses a z-test. It checks specifically to see if two means are the same (the null hypothesis). A z-test can only be used when the population standard deviation is known and the sample size is 30 data points or more.
It is given that a sample of 49 eggs yields a sample mean weight of 2.00 ounces
Sample mean , x = 1.69
Population, SD =σ = 0.46
Sample size = n =49
Significance level = α =0.05
The critical value Z* = 1.960
Margin of error = Z* (σ /√n) = 1.96 (0.46/√49) = 0.1288≈ 0.13
Hence, the margin of error is 0.13
To know more about 'margin of error' related questions
visit- https://brainly.com/question/10501147
#SPJ4
