![The statistical significance of a difference](http://s1.studyres.com/store/data/000201149_1-cc61ffe5ff6a3cc340ff6062242179d0-300x300.png)
Example: You wish to estimate the average number of housing starts
... average number of housing starts in all large cities in the United States. You have a random sample of 25 cities and obtain the number of housing starts in each. The sample mean is 525 with a sample standard deviation of 40. Given values: n=25, sample standard deviation =40, Sample mean = 525 Confid ...
... average number of housing starts in all large cities in the United States. You have a random sample of 25 cities and obtain the number of housing starts in each. The sample mean is 525 with a sample standard deviation of 40. Given values: n=25, sample standard deviation =40, Sample mean = 525 Confid ...
Mode
... The range of a set of observations is the difference between the largest and smallest observations. Its major advantage is the ease with which it can be computed. Its major shortcoming is its failure to provide information on the dispersion of the observations between the two end points. ...
... The range of a set of observations is the difference between the largest and smallest observations. Its major advantage is the ease with which it can be computed. Its major shortcoming is its failure to provide information on the dispersion of the observations between the two end points. ...
ENV 260/SDV 360
... exact when the population is normal and is approximately correct for large n in other cases. Note that when n is small and the population is not normal, this formula can lead to incorrect results and therefore cannot be used. Here t * is chosen so that the area under the t probability distribution f ...
... exact when the population is normal and is approximately correct for large n in other cases. Note that when n is small and the population is not normal, this formula can lead to incorrect results and therefore cannot be used. Here t * is chosen so that the area under the t probability distribution f ...
Chapter 6 Robust statistics for location and scale parameters
... • However, it is sensitive to outliers and may not remain bounded when a single data point is replaced by an arbitrary number. • With robust scale estimators, the estimates remain bounded even when a portion of the data points are replaced by ...
... • However, it is sensitive to outliers and may not remain bounded when a single data point is replaced by an arbitrary number. • With robust scale estimators, the estimates remain bounded even when a portion of the data points are replaced by ...
Least significant difference (LSD) (Revised)
... The calculated F value 19.37 is more than the table F value 10.92. This reveals that there are significant differences among the three varieties i.e. at least one variety is different from any of others. The next step is to calculate LSD. Standard deviation per plot = √MSE = 2.901 The tabular value ...
... The calculated F value 19.37 is more than the table F value 10.92. This reveals that there are significant differences among the three varieties i.e. at least one variety is different from any of others. The next step is to calculate LSD. Standard deviation per plot = √MSE = 2.901 The tabular value ...