*Note: Only compatible with the latest update (v1.2). The programs in this document will not work with older versions.
WHAT'S OFFERED?
ASSESSMENT DOCUMENTS
You will receive pre-made SAC and exam documents, containing all relevant programs and pages you will need. A separate user document will also be included with all programs relevant to the subject.
FREE UPDATES
All updates and new features can be obtained free of charge. Follow @qn_cas_programs on Instagram to stay updated on new releases and versions. This includes any bug fixes and new programs.
CUSTOMER SUPPORT
Having trouble using the programs? Feel free to contact me directly, or email qncubed3@gmail.com with any questions or concerns. All inquiries will be answered within 24 hours.
WHAT'S INCLUDED?
METHODS PROGRAMS
- analyse:
Finds axis intercepts, stationery and inflection points and their nature, derivative, domain and given endpoints of a function.
- function_grad:
Finds the gradient of a function of x at a point.
- solve_grad:
Finds the points on a function of x with a particular gradient
- tangent_line:
Finds the equation of the tangent line to a function of x at a point.
- normal_line:
Finds the equation of the normal line to a function of x at a point.
- intersect:
Finds the intersection points between 2 functions.
- function_inv:
Finds the inverse of a function of x.
- transform:
Finds the image of a function of x under certain transformations, or finds the transformations between two transformed functions.
- linear_info:
Finds the gradient, distance, midpoint, linear equations and its axis intercepts given two points, or a point and a gradient.
- total_area:
finds the total area bounded by a function and the x-axis.
- binom_cdf:
Finds the binomial CDF probability.
- binom_pdf:
Finds the binomial PDF probability.
- binom_info:
Finds the mean, variance, standard deviations and probability values of a binomial probability distribution.
- binom_inv:
Inverse binomial probability finds the number of trials required to meet a certain probability.
- normal:
Finds probabilities associated with the normal distribution.
- normal_inv
Inverse normal distribution.
- z_score:
Standardizes normal probability distribution values.
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SPESH PROGRAMS
- Functions to find real part, imaginary part, modulus, argument and conjugate of a complex number.
- Functions to find scaler resolute, vector resolute, dot product, vector angle, magnitude, unit vector and unit bisector of given vectors.
- lindep_test:
Tests whether 3 vectors are linearly dependent.
- colinear_test:
Tests whether 3 vectors are colinear.
- complex_info:
Finds real part, imaginary part, modulus, argument and conjugate of a complex number.
- complex_poly:
Finds coefficients and roots of a complex polynomial.
- polar_conv:
Converts a complex number from rectangular to polar form.
- rect_conv:
Converts a complex number from polar to rectangular form.
- demoivre_poly:
Solves a complex polynomial in polar form using De Moivre's thoerem.
- analyse:
Finds axis intercepts, stationery and inflection points and their nature, derivative, domain and given endpoints of a function.
- implicit_diff:
Finds the derivative of a relation using implicit differentiation.
- hypb_lines:
Finds the equations of the asymptotes of a hyperbola.
- transform:
Finds the image of a function of x under certain transformations, or finds the transformations between two transformed functions.
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MORE TO COME IN FUTURE UPDATES: (Calculus, Kinematics, Differential Equations, Mechanics Programs)
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FURTHER PROGRAMS
- list_info:
Finds the quartiles, minimum and maximum values, mean, median, standard deviation, range and interquartile range of a list or set of data.
- mean_smoothing:
Applies mean smoothing to a list, given mean smoothing value ranging from 2 to 5.
- lin_regression:
Finds the equation of the linear regression line, a,b,r and r^2 values for the sets of data.
- lin_transform:
Applies a given transformation (quadratic, logarithmic, or reciprocal) to transform a data set to linearity, and finds the a,b,r and r^2 values of this linear regression.
- residual_info:
Uses the regression line to find the residuals and predicted response data variables.
- seasonal_avg:
Finds the average values of the seasons for each cycle.
- seasonal_index:
Finds all seasonal index figures and calculates their averages for each season.
- deseasonalise:
Automatically deseasonalises data.
- extract_list:
Generates a list extracted from a matrix.
- clear_var:
Clears all variables after performing a stat calculation.
- determinant:
Finds the determinant of a matrix
- inverse:
Finds the inverse of an invertible matrix.
- transpose:
Finds the (complex conjugate) transpose of a matrix.
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MORE TO COME IN FUTURE UPDATES! (Since I don't do further, I need to learn all the content before I can implement any programs. Next update will include matrix programs!)
