When does the t-distribution approach the standard normal distribution? Choose the correct answer below. A. When the standard
deviation of the sample data becomes larger, as larger sample standard deviations better estimate population standard deviations B. When the sample size decreases, because the standard deviation of the sample data better estimates the population standard deviation for smaller sample sizes C. When the sample size increases, because the standard deviation of the sample data better estimates the population standard deviation for larger sample sizes D. When the sample size decreases, because the standard deviation of the distribution of sample means better estimates the population standard deviation for smaller sample sizes E. When the sample size increases, because the standard deviation of the distribution of sample means better estimates the population standard deviation for larger sample sizes
E. When the sample size increases, because the standard deviation of the distribution of sample means better estimates the population standard deviation for larger sample sizes.
Step-by-step explanation:
T distribution is similar to the normal distribution and is seen when the estimates of the variance are based on the degree of freedom and has a relatively more score in its tail and has a greater change of extreme values.
Perimeter is the addition of all 4 sides and a square as all the same sides. so every side will be the same. so if you divide 216 by 4 you get 54. you can check this by adding 54+54+54+54=216 or 54x4=216
