But the point I want to make is about the "analysis of variance."

Analysis of Variance - to determine the difference between data points.

Statistics All data were analyzed by one way analysis of variance.

One example is the F-test in the analysis of variance.

Analysis of variance was the chief statistical method applied to the data.

Statistical significance was tested using analysis of variance for multiple groups.

His first application of the analysis of variance was published in 1921.

Statistical significance was analyzed by analysis of variance and Student's t test.

Comparison of means was analysed by one way analysis of variance.

Regression and analysis of variance were the main uses of the program.

Entries in an analysis of variance table can also be regarded as summary statistics.

Mixed model analysis of variance was used to test for the effects of intervention.

Reported P values are from multifactorial analysis of variance.

Analyses of variance by subject and by materials support these observations.

Chi-square and analysis of variance tests, as appropriate, were performed to test for statistically significant differences.

This measure of spread is found useful in the statistical analysis of variance.

Many other statistical tests also use this distribution, like Friedman's analysis of variance by ranks.

The Friedman test is used for one-way repeated measures analysis of variance by ranks.

One way analysis of variance was used to compare the mean levels of diabetic control in three or more groups.

An analysis of variance for growth was significant (p<0.001) showing that at least one treatment group was significantly different from the control.

The analysis of variance, the most common test used in hypothesis testing, assumes that the data is normally distributed.

For example, neither an analysis of variance nor a list of persons who had received too much money could be printed.

Differences in the slope of regression lines were evaluated by analysis of variance.

One-way analysis of variance was used for comparison ofall continuous variables.

A repeated-measures analysis of variance showed statistically significant differences between the treatment and control groups for all parameters measured.