. Which of the following statements is true about the standard deviation?
A. the standard deviation is a better measure of variability when the underlying data distribution has a significant skew
B. when the standard deviation is the best measure of variability, then the median is the best measure of location
C. the standard deviation is a better measure of variability when comparing the variability of different distributions
D. the standard deviation is a better measure of variability when the sample size is less than 30
E. the standard deviation is statistically efficient
C. the standard deviation is a better measure of variability when comparing the variability of different distributions
Option C
. Which of the following statements is true about the standard deviation? A. the standard deviation...
1. Which of the following statements is true about the standard deviation of X¯? A. It increases as the sample size n increases. B. It decreases as the sample size n increases. C. It changes each time a new sample is drawn. D. It does not change as the sample size n increases. 2. The standard deviation of the sampling distribution for a sample mean depends on the value(s) of A. neither the sample size nor the population standard deviation....
Which of the following statements is true about the standard deviation of X? A. It increases as the sample size n increases. B. It decreases as the sample size n increases. C. It changes each time a new sample is draw D. It does not change as the sample size n increases The standard deviation of the sampling distribution for a sample mean depends on the value(s) of A. neither the sample size nor the population standard deviation B. the...
Below are statements about standard error. State exactly two that are true. As long as sample size is at least 2, standard error is smaller than standard deviation If sample size is increased, standard error is also decreased. standard error measures the variability in the sample data. in a confidence interval, when standard error is increased, the margin of error is increased.
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size,n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the above...
Which of the following is true about the potential influences on the likelihood of obtaining significant results? A)The larger your sample size, the less likely it will be to get significant results. B)The larger your estimated standard error, the more likely it will be to get significant results.C) The smaller your sample variability, the more likely it will be to get significant results. D) None of the above are true.
Which of the following statements are TRUE? There may be more than one correct answer; select all that are true. r-p The statisticdoes not have a normal distribution. Vn The t distribution is used when ơ is not known in the statistic-_ , and must be estimated by s. Vm Replacing ơ with s results in less uncertainty and variability in the statistic Vn As the degrees of freedom increases, the shape of the t distribution becomes flatter. If the...
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size, n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the...
Which of the following formulas would calculate the statistic that is MOST APPROPRIATE for comparing the variability of two data sets with different distributions? Mean/Standard Deviation Standard Deviation/Mean Mean-Median Median-Mean Mean/Variance Variance/Mean
QUESTION 23 Which of the following is the most descriptive measure of spread? Median Standard deviation Range Mean QUESTION 24 Which of the following describes a measure of Spread? Range and interquartile range (IQR) Variance and Standard Deviation (std) Mean, Median and Mode More than one answer is correct QUESTION 25 Sample standard deviation s is the estimator of population standard deviation o. True False