Question: Technically we assume that we are obtaining simple random samples
Technically, we assume that we are obtaining simple random samples from inﬁnite populations when obtaining sampling distributions. If the size of the population is ﬁnite, we technically need a ﬁnite population correction factor. However, if the sample size is small relative to the size of the population, this factor can be ignored. Explain what an “inﬁnite population” is. What is the ﬁnite population correction factor? How small must the sample size be relative to the size of the population so that we can ignore the factor? Finally, explain why the factor can be ignored for such samples.
Relevant QuestionsFor the three probability distributions shown, rank each distribution from lowest to highest in terms of the sample size required for the distribution of the sample mean to be approximately normally distributed. Justify your ...n = 1010, p = 0.84 According to a study done by the Pew Research Center, 39% of adult Americans believe that marriage is now obsolete. (b) What is the probability that in a random sample of 500 adult Americans less than 38% believe that ...Find the critical t-value for constructing a conﬁdence interval for a population mean at the given level of conﬁdence for the given sample size,n. (a) 99% conﬁdence;n = 18 (b) 90% conﬁdence;n = 27 A random sample of 60 married couples who have been married 7 years was asked the number of children they have.The results of the survey are as follows: (a) What is the shape of the distribution of the sample mean? Why? (b) ...
Post your question