Weights of golden retriever dogs are normally distributed. Samples of weights of golden retriever dogs, each of size nequals15
, are randomly collected and the sample means are found. Is it correct to conclude that the sample means cannot be treated as being from a normal distribution because the sample size is too small? Explain. Choose the correct answer below. A. Yes; the sample size must be over 30 for the sample means to be normally distributed. B. No; the original population is normally distributed, so the sample means will be normally distributed for any sample size. C. No; the samples are collected randomly, so the sample means will be normally distributed for any sample size. D. No; as long as more than 30 samples are collected, the sample means will be normally distributed.
If the population, in this case, weights of golden retriever dogs, follows a normal distribution, then the sample will too, even if the sample size is lower than 30. You only have to worry about the sample size being too small when a problem doesn't explicitly say the distribution from which the samples are drawn is normally distributed.
The slope increases at a rate of 1 / 1, which is written as just x. The line starts at 2, which is at the y-intercept, a.k.a, where you get the +2 from.
