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+ Because of the small sample size, estimating the standard deviation<\/strong> is not possible.\n<\/p>\n <\/p>\n + Standard deviation<\/strong> is also useful in money, where the standard deviation<\/strong> on interest earned shows how different one person\u2019s interest earned might be from the average.\n<\/p>\n <\/p>\n + The average and the standard deviation<\/strong> of a set of data are usually written together.\n<\/p>\n <\/p>\n + Stock A over the past 20 years had an average return of 10 percent, with a standard deviation<\/strong> of 20 percentage points.\n<\/p>\n <\/p>\n + There are simple algorithms to calculate median, mean, standard deviation<\/strong> etc.\n<\/p>\n <\/p>\n + This assessment involves measures of Measures of central tendencycentral tendency or mean and median, and measures of variability or statistical dispersion, such as the standard deviation<\/strong> or variance.\n<\/p>\n <\/p>\n + This is because the standard deviation<\/strong> is divided by the square root of the sample size.\n<\/p>\n + If the standard deviation<\/strong> were zero, then all men would be exactly 70″ tall.\n<\/p>\n <\/p>\n + Then a number close to the standard deviation<\/strong><\/strong> for the whole group can be found by a slightly different equation called the sample standard deviation<\/strong><\/strong>, explained below.\n<\/p>\n <\/p>\n + This variation is assumed to be normal distributionnormally distributed around the desired average of 250g, with a standard deviation<\/strong> of 2.5g.\n<\/p>\n <\/p>\n + The uncertainty in the mean is estimated as the standard deviation<\/strong> for the sample, divided by the square root of the number of samples minus one.\n<\/p>\n <\/p>\n + In real measurements, the true value of the standard deviation<\/strong> of the mean for the whole group is usually not known.\n<\/p>\n <\/p>\n + Variance and standard deviation<\/strong> are used because it makes the mathematics easier\u2014when adding two random variables together.\n<\/p>\n <\/p>\n + The standard deviation<\/strong> for all the sample averages is the standard error of the mean.\n<\/p>\n <\/p>\n + However, the standard deviation<\/strong> of the daily high temperature for the coastal city will be less than that of the inland city.\n<\/p>\n <\/p>\n + Mean is a better measure in many cases, because many of the statistical tests can use mean and standard deviation<\/strong> of two observations to compare them, while the same comparison cannot be performed using the medians.\n<\/p>\n <\/p>\n + A low standard deviation<\/strong><\/strong> means that most of the numbers are close to the average, while a high standard deviation<\/strong><\/strong> means that the numbers are more spread out.\n<\/p>\n <\/p>\n + When deciding whether measurements from an experiment agree with a prediction, the standard deviation<\/strong> of those measurements is very important.\n<\/p>\n <\/p>\n + In money, standard deviation<\/strong> may mean the risk that a price will go up or down.\n<\/p>\n <\/p>\n![\"Standard](\"https:\/\/englishteststore.net\/blog\/wp-content\/uploads\/2021\/09\/Standard-deviation-use-in-sentences.jpg\" "\\"Standard")
Example sentences of “Standard deviation”:<\/h2>\n
+ If the standard deviation<\/strong> were zero, then all men would be exactly 70\" tall.\r\n
+ Then a number close to the standard deviation<\/strong><\/strong> for the whole group can be found by a slightly different equation called the sample standard deviation<\/strong><\/strong>, explained below.\r\n
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