"Standard deviation is preferred over variance because it operates on the same scale as the data."
"Standard deviation is the measure of the spread of the data."
"With the charge master light, the SD was 5.08, ES 16, and the average speed or velocity 2770."
"Sixty-eight percent of observations fall within one standard deviation of the mean."
"Ninety-five percent of observations fall within two standard deviations of the mean."
"Ninety-nine percent of observations fall within three standard deviations of the mean."
"The standard deviation of the sample means is equal to the population mean divided by the square root of n."
"The tighter the standard deviation, the more uniformity we have."
"The standard deviation is a measure of the amount of variation."
"The empirical rule says that one standard deviation equals 68%, two equals 95%, and three equals 99.7%."
"68% of the values in that curve will fall within one standard deviation."
"For one standard deviation, the value is going to be 3.4 away from the mean, either above it or below it."
"68% of the data will be within one standard deviation of the mean."
"The standard deviation is the average of the distances between each value and the mean."
"If the standard deviation is zero, then it means that all the values are the same."
"If the mean is 50 and the standard deviation is 10, 68% of the population falls between 40 and 60."
"68% of data in a population is within 1 standard deviation of the mean."
"The empirical rule states that 99.7% is within three standard deviations of the mean."
"Approximately 68 percent of all distributions fall in the interval mu plus or minus one standard deviation."
"Approximately 95 percent of all observations fall in the interval mu plus or minus 2 sigma."
"Approximately 99 percent of all data will fall within three standard deviations of the mean."
"The normal distribution is entirely ran by two values: the mean smack dab in the middle and the standard deviation."
"99.7 percent of your variable or of your outcomes falls within three standard deviations."
"Within plus or minus one standard deviation, roughly two-thirds of your total sample population is captured."
"We often use the standard deviation, and we add or subtract it from the mean, as a good way of making lower and upper limits that have special significance."
"68% of the data are in the interval mu plus or minus one standard deviation."
"95% of the data are in the interval mu plus or minus two standard deviations."
"The standard deviation of the sample means is the population standard deviation divided by the square root of the sample size."
"Her result falls within two standard deviations of the mean."
"When the standard deviation is unknown, I'm going to use a one-sample t-test."
"Mean plus or minus one standard deviation covers 68% values."
"Mean plus or minus two standard deviations cover 95% values."
"Mean plus or minus three standard deviations cover 99% values."
"Standard deviation is the key in understanding statistics."
"The standard deviation is going to be large if the numbers are more spread out and lower if they are closer to the mean."
"The correlation coefficient is simply the ratio of the covariance and the products of the standard deviation of the two securities."
"The chance that x is within 2 standard deviations of its mean is about 95%."
"The main teaching on this model is standard deviation, how to use it, when to use it, why we are looking for it."
"Chebyshev's theorem states that the percentage of observations that lie within K standard deviations of the mean is at least one minus the reciprocal of K squared."
"The standard deviation of a random variable is a measurement of how the outcome of your random variable would vary from trial to trial."
"Once the sample reaches a reasonable size, it becomes a good approximation of the population standard deviation."
"68% of the population lives within one standard deviation of the mean."
"About 68 percent of the data with a normal distribution lies within one standard deviation of the mean, while 95 percent of the data lies within two standard deviations, and 99.7 percent lies within three standard deviations."
"Approximately 68% of a normal distribution's data is within one standard deviation of the mean."
"Three standard deviations from the mean... this then is going to be at our 99.7%."
"95% of the data is always 2 standard deviations."
"The mean μ is given by np and the standard deviation σ is given by the square root of np multiplied by 1 minus p."
"The 95% level is the mean plus or minus two standard deviations."
"Z-score is just a number on how many standard deviations you are away from the mean."
"Look at that standard deviation, that's pretty amazing."
"Within one standard deviation of the mean, we get 68.2%."
"Roughly 95 percent of the data falls within two standard deviations of the mean."