ch 3* the length of human pregnancies from conception to birth varies according to a distribution that is…

ch 3* the length of human pregnancies from conception to birth varies according to a distribution that is approximately normal with mean 266 days and standard deviation 16 days. about 95% of all pregnancies last between\n\n234 and 298 days.\n250 and 282 days.\n218 and 314 days.\n\nquestion 3\nch 3* to completely specify the shape of a normal distribution, you must give\nthe mean and the standard deviation.\nthe median and the quartiles.\nthe five - number summary.

ch 3* the length of human pregnancies from conception to birth varies according to a distribution that is approximately normal with mean 266 days and standard deviation 16 days. about 95% of all pregnancies last between\n\n234 and 298 days.\n250 and 282 days.\n218 and 314 days.\n\nquestion 3\nch 3* to completely specify the shape of a normal distribution, you must give\nthe mean and the standard deviation.\nthe median and the quartiles.\nthe five - number summary.

Answer

Explanation:

Step1: Recall the empirical rule for normal distribution

For a normal - distributed data, about 95% of the data lies within 2 standard deviations of the mean.

Step2: Calculate the lower bound

The lower bound is $\mu - 2\sigma$, where $\mu = 266$ (mean) and $\sigma=16$ (standard deviation). So, $266-2\times16=266 - 32=234$.

Step3: Calculate the upper bound

The upper bound is $\mu + 2\sigma$. So, $266+2\times16=266 + 32=298$. For the second question, a normal distribution is completely specified by its mean and standard - deviation.

Answer:

First question: 234 and 298 days. Second question: the mean and the standard deviation.