![]() Print.A = The intercept point of the regression line and the y axis. Compute the percentile of a single observation (y) in a set (X).Compute the z SCORE in a set of observations.Compute the z SCORE based on the mean and standard deviation.Sample Standard Deviation of the values.Population standard deviation of the values.Range in a Set - this is the difference between the max and the min.Mid Point in a Set - this is the mid point of the observation range.Mean - the is the mean (average) of the observed values.(Σx)² - this is the square of the summed values.Σx² - this is the sum of the squared values.Σx - this is the sum of the values in a set.Create a random subset of the a list of numeric values.Numeric Sort (up and down) - this returns a comma separated list of the observations in ascending or descending order.Maximum Value in a Set- this is the maximum value in the set.Minimum Value in a Set - this is the minimum observed value.Count of Observations in a Set - this is the number (n) of values in a set.College Level Statistics Calculator (Stat Calc).Compute the Probability between z SCORES.Range value based on the slope-intercept formula of a line and a value of the domain.Slope-Intercept form of a Line based on two points.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.y = a + bx: This is linear equation used with Linear Regression to predict values of Y.It also computes the regression coefficient (r). Linear Regression: This computes the regression line (least-squares) through a set of X and Y observations.(χ 2) Chi-Square Test: This computes the Chi-Square value for an nxm array of data and provides the degrees of freedom.ANOVA (one way): The is one way analysis of variance.Paired Sample t-test: This computes the various parameters associated with the Paired Sample t-test.It then computes how many of the observations are in each of the bins between the high and low values designated. Frequency Distribution: This function lets you enter a string of numbers separated by commas, a low and high range and a number of bins.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. Observational Stats: This function accepts a table of numbers separated by commas and calculates observational statistics for any of the columns.Compute the Least-squares Linear Regression Equation. ![]() Compute the Range value (y) based on the slope-intercept formula of a line (y = mx + b).Compute the Slope-Intercept form of a Line based on two points.The formula for the correlation coefficient (r) is as follows: The range of r is -1 ≤ r ≤ 1, with the strongest correlations the further one gets from zero, either negative or positive. To determine if there is a correlation between X and Y, the calculator computes the correlation coefficient ( r). The formula for the least-squared regression line is in the following form: The calculator will return "Y = 3.6 + 0.8X". If you want the find the least squares trend line through Least-squares Trend Line (Y = a + bX): The calculator computes the Least-square Trend Line, correlation coefficient (r) and supporting calculation details: ( OC) Output Choice (Trend Line, Details).The Least-square Equation produces this linear equation in the form y = a + bx. This is also known as simple linear regression. The Least-squares Trend Line calculator computes the regression line, a linear equation, through a set of X and Y values.
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