QUESTION 1: Parameters are
numerical characteristics of a sample
numerical characteristics of a population
the averages taken from a sample
numerical characteristics of either a sample or a population
QUESTION 2: Stratified random sampling is a method of selecting a sample in which
the sample is first divided into strata, and then random samples are taken from each stratum
various strata are selected from the sample
the population is first divided into strata, and then random samples are drawn from each stratum
None of these alternatives is correct.
QUESTION 3: A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as the
approximation theorem
normal probability theorem
central limit theorem
central normality theorem
QUESTION 4: In point estimation
data from the population is used to estimate the population parameter
data from the sample is used to estimate the population parameter
data from the sample is used to estimate the sample statistic
the mean of the population equals the mean of the sample
QUESTION 5: The sample statistic s is the point estimator of
μ
σ
x ¯
p
QUESTION 6: The sample mean is the point estimator of
μ
σ
x ¯
p-
QUESTION 7: The standard deviation of all possible x ¯ values is called the
standard error of proportion
standard error of the mean
mean deviation
central variation
QUESTION 8: A sample statistic, such as a sample mean, is known as
a statistic
a parameter
the mean deviation
the central limit theorem
QUESTION 9: The purpose of statistical inference is to provide information about the
sample based upon information contained in the population
population based upon information contained in the sample
population based upon information contained in the population
mean of the sample based upon the mean of the population
QUESTION 10: Random samples of size 81 are taken from an infinite population whose mean and standard deviation are 200 and 18, respectively. The distribution of the population is unknown. The mean and the standard error of the mean are
200 and 18
81 and 18
9 and 2
200 and 2