A commonly used measure of the center of a batch of numbers. The mean is also called the average. It is the sum of all observations divided by the number of (nonmissing) observations.
Term | Description |
---|---|
xi | ith observation |
N | number of nonmissing observations |
The sample standard deviation provides a measure of the spread of your data. It is equal to the square root of the sample variance.
Term | Description |
---|---|
x i | i th observation |
mean of the observations | |
N | number of nonmissing observations |
The variance measures how spread out the data are about their mean. The variance is equal to the standard deviation squared.
Term | Description |
---|---|
xi | ith observation |
mean of the observations | |
N | number of nonmissing observations |
Term | Description |
---|---|
xi | i th observation |
The smallest value in your data set.
The sample median is in the middle of the data: at least half the observations are less than or equal to it, and at least half are greater than or equal to it.
Suppose you have a column that contains N values. To calculate the median, first order your data values from smallest to largest. If N is odd, the sample median is the value in the middle. If N is even, the sample median is the average of the two middle values.
For example, when N = 5 and you have data x1, x2, x3, x4, and x5, the median = x3.
When N = 6 and you have ordered data x1, x2, x3, x4, x5,and x6:
where x3 and x4 are the third and fourth observations.
The largest value in your data set.
Term | Description |
---|---|
difference in means of the ith resamples | |
B | number of resamples |
N | number of observations for one group in the original sample |
Term | Description |
---|---|
mean of the differences of the resamples | |
B | number of resamples |
difference in means of the ith resample |
Sort the difference in means of the resamples in increasing order. d1 is the lowest number, dB is the highest number.
Lower bound: dl where =
Upper bound: du where =
For a one-sided case (only a lower bound or upper bound), use α instead of α/2.
When l or u are not integers, Minitab does a linear interpolation between the two numbers on either side of l or u. The formula is:
dy + z(dy+1 - dy)
For example, if l = 5.25, the lower bound equals d5 + .25(d6 - d5).
Minitab does not display the confidence interval when or .
Term | Description |
---|---|
α | 1- confidence level/100 |
B | number of resamples |
dy | the yth difference when the data are sorted from least to greatest |
y | the truncated value of l or u |
z | l-y or u - y |