The F Distribution Table is used to find the correct critical value of F, which determines what results are significant for a set of data. It is used for ANOVAs, where the result is an F-ratio, and in calculating the significance of a regression line (Gravetter and Wallnau, 2013).  The critical F is reported in the following equations: repeated-measures ANOVA, one-way ANOVA, and factorial ANOVA. The dataset has a column for the degrees of freedom denominator (df) and 4 additional columns to give the F-value, given a degrees of freedom numerator as 1, 2, 3, or 4. The critical F is reported at .05 and 0.01 significance (α value).

To compute the One-way ANOVA f-score for a table of data, CLICK HERE.

F - Tables

Alpha = 0.1

Alpha = 0.05

Statistics Calculators

• Observational Stats:  This function accepts a table of numbers separated by commas and calculates observational statistics for any of the columns.  This includes count, min, max, sum, sum of squares (Σx²), square of the sum (Σx)², mean, median, mode, range, mid point, rand, sort up, sort down, rand, population variance, population standard deviation, the sample/experimental variance, sample/experimental standard deviation.
• Frequency Distribution:  This function lets you enter a string of numbers separated by commas, a low and high range and a number of bins.  It then computes how many of the observations are in each of the bins between the high and low values designated. 
• Paired Sample t-test:  This computes the various parameters associated with the Paired Sample t-test.
• ANOVA (one way): The is one way analysis of variance
• (χ²) Chi-Square Test: This computes the Chi-Square value for an nxm array of data and provides the degrees of freedom.
• Linear Regression:  This computes the regression line (least-squares) through a set of X and Y observations.  It also computes the regression coefficient (r).
• y = a + bx:  This is linear equation used with Linear Regression to predict values of Y.
• Wilcoxon Signed Rank Test: This provides the Wilcoxon statistics and critical value for two groups of numeric observations based on an alpha value and whether it's a one or two tailed test.
• Slope-Intercept form of a Line based on two points.
• Slope between two points
• Range value based on the slope-intercept formula of a line and a value of the domain.
• Compute the Probability between z SCORES
• College Level Statistics Calculator (Stat Calc).
• Count of Observations in a Set - this is the number (n) of values in a set.
• Minimum Value in a Set - this is the minimum observed value
• Maximum Value in a Set- this is the maximum value in the set.
• Numeric Sort (up and down) - this returns a comma separated list of the observations in ascending or descending order.
• Create a random subset of the a list of numeric values
• Random number from a range you specify
• Frequency distribution of data.
• Σx - this is the sum of the values in a set.
• Σx²  - this is the sum of the squared values
• (Σx)² - this is the square of the summed  values.
• Mean - the is the mean (average) of the observed values
• Median - the middle ordered value
• Mode - the most recurring observation
• Mid Point in a Set - this is the mid point of the observation range.
• Range in a Set  - this is the difference between the max and the min.
• Population Variance of the values
• Population standard deviation of the values
• Sample Variance of the values
• Sample Standard Deviation of the values
• Compute the z SCORE based on the mean and standard deviation
• Compute the z SCORE in a set of observations
• Compute the percentile of a single observation (y) in a set (X)
• SDOM - standard deviation of mean