Which of the following statements about populations and samples is FALSE?The spread in data set A is greater than that in data set B. Data set A likely has a higher variance than that of data set B.Sample standard deviation is the square root of sample variance.Population variance and mean are estimators for the sample variance and mean.Sample variance and mean are estimators for the population mean and variance.

Which of the following statements is true?Group of answer choicesThe sum of the deviations from each value in a data set to the mean, is always zero.The sum of the squared deviations from the mean is always zero.The standard deviation is in squared units.The standard deviation is always greater than the variance.

Which one of the following is incorrect? 1.Variance of population is a parameter. 2.Standard deviation of a population is a parameter. 3.Mean of a sample is a parameter. 4.Standard deviation of a sample is a statistic.

True or false?  In contrast to the population mean, μ, which can never be known unless all members of the population are known, the population standard deviation, σ, can be exactly determined from a sample.TrueFalse

Is this statement true or false?"Parameters" relate to populations, while "statistics" relate to samples.

Suppose we take repeated random samples of size 20 from a population with a mean of 60 and a standard deviation of 8. Which of the following statements is true about the sampling distribution of the sample mean (x̄)? Check all that apply. The distribution is normal regardless of the shape of the population distribution, because the sample size is large enough. The distribution will be normal as long as the population distribution is normal. The distribution's mean is the same as the population mean 60. The distribution's standard deviation is larger than the population standard deviation of 8.