1What is the standard error of the sample mean? 0 The difference between the sample mean and population mean 0 Another term for the sample standard deviation 0 The standard deviation of the sampling distribution of C} The population standard deviation divided by n According to the Central Limit Theorem, the sampling distribution of @ is a normal distribution if O the population has at least 30 observations O there are at least 30 observations in the sample O the population distribution is symmetric O np > 5 and n(1-p) > 5A random variable has a mean of 6.5 and a standard deviation of 3.45. With a random sample of 40 observations, what is the probability of obtaining a sample mean greater than 5.9? O 0.4325 O 0.5455 O 0.1357 O 0.8643What is the main benefit of a large sample size? O The sampling distribution is more spread out. O There is a higher probability that the sample mean falls within a specified distance from the population mean. The sampling distribution is less spread out. O It usually costs less to get a large sample.Suppose that there is a school bond referendum in Greensboro, and 73% of voters support it. You randomly ask 20 Greensboro voters whether they support the bond referendum. The standard error of the sample proportion is _. The probability that 15 or more people (out of 20) in your sample support the bond referendum is O 0.0993; 0.4207 O 0.0968; 0.4168 O 0.0993; 0.5743 O 0.0968; 0.5832As the sample size decreases, O the confidence interval becomes narrower O the confidence level increases the confidence interval becomes wider O the confidence level decreases