The central limit theorem is important in statistics because

a) for a large n, it says the population is approximately normal.
b) for any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size
c) for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population
d) for any sized sample, it says the sampling distribution of the sample mean is approximately normal.

Luke started a weight-loss program. the first week, he lost x pounds. the second week, he lost pounds less than times the pounds he lost the first week. the third week, he lost 1 pound more than of the pounds he lost the first week. liam started a weight-loss program when luke did. the first week, he lost 1 pound less than times the pounds luke lost the first week. the second week, he lost 4 pounds less than times the pounds luke lost the first week. the third week, he lost pound more than times the pounds luke lost the first week.