Quesiton : For data sets having a distribution that is approximately bell-shaped _ states that about 68% of all data values fall within one standard deviation from the mean.
Answer: variance
For data sets having a distribution that is approximately bell-shaped _ states that about 68% of all data values fall within one standard deviation from the mean. The Range Rule of Thumb roughly estimates the standard deviation of a data set as _ the Empirical Rule For data sets having a distribution that is approximately bell-shaped _ states that about 68% of all data values fall within one standard deviation from the mean. For data sets having a distribution that is approximately bell- shaped _____ states that about 68% of all data values fall within one standard deviation from the mean . Range For data sets having a distribution that is approximately bell- shaped _____ states that about 68% of all data values fall within one standard deviation from the mean . The Empirical Rule The square of the standard deviation is called the … Show transcribed image text For data sets having a distribution that is approximately bell-shaped _____ states that about 68% of all data values fall within one standard deviation from the mean . For data sets having a distribution that is approximately bell-shaped states that about 68% of all data values fall within one standard deviation from the mean . Sun Mar 19 2017 00:00:00 GMT+0530 (IST) · 16. Fill in the blank. For data sets having a distribution that is approximately bell- shaped _____ states that about 68% of all data values fall within one standard deviation from the mean . · About 68% of all values fall within 1 standard deviation of the mean. · About 95% of all values fall within 2 standard deviations of the mean. · About 99.7% of all values fall within 3 standard deviations of the mean. The Empirical Rule ( 68 -95-99.7) says that if the population of a statistical data set has a normal distribution (where the data are in the shape of a bell curve) with population mean ยต and standard deviation About 0.68 of the values lie within 1 standard deviation of the mean (or between the mean ... The mean and standard deviation of the data are rounded to two decimal places x-= 69.92 and s = 1.70. If we go through the data and count the number of observations that are within one standard deviation of the mean that is that are between 69.92 − 1.70 = 68.22 and 69.92 + 1.70 = 71.62 inches there are 69 of them. Both sets have same mean of 100. Set 1: all values are equal to the mean so there is no variability at all . ... For any bell-shaped curve approximately • 0.68 of the values fall within 1 standard deviation of the mean in either direction Binomial Distribution which formula finds the standard deviation Square root and N*P*q A main goal in statistics is to interpret and understand the meaning of statistical values.
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