ims54 - Using MGFs to derive the distribution of the sample variance.

ims53 - Using MGFs to show that the sample mean and variance are independent

ims52 - Using the Normal Distribution to Derive Distributions

Deriving the t Distribution

cv12 - Amplitude of the Sum of the Sine and Cosine Functions

cv11 - Sine and Cosine of the Inverse Tangent

cv10 - Periodic Trig Functions: Period, Phase Shift, Vertical Shift, Amplitude, and Frequency

cv9 - Dot Product and Cross Product of Complex Numbers

cv8 - Complex Polynomial of Degree n

cv7 - Quadratic Equation with Complex Coefficients

cv6 - The Complex Exponential Function

cv5 - Roots of a Complex Number

cv4 - Polar Form of a Complex Number

cv3 - Modulus of a Complex Number

cv2 - General Equation of a Circle in the Complex Plan

cv1 - Introduction to Complex Numbers

ims51 - Limiting Distributions(7/7): Slutsky's Theorem & Delta Method

ims50 - Limiting Distributions(6/7): Convergence in probability

ims49 - Limiting Distributions(5/7): Asymptotic Normal Order Statistic

ims48 - Limiting Distributions(4/7): Normal Approximation to a Binomial

ims47 - Limiting Distributions(3/7): Central Limit Theorem

ims46 - Limiting Distributions(2/7): Stochastic Convergence

ims45 - Limiting Distributions(1/7): Sequence of Random Variables.

ims44 - Order Statistics (2 of 2)

ims43 - Order Statistics (1 of 2)

Inverse Binomial Sampling

ims42 - Transformation of Bivariate Random Variables

amv60 - Test Comparing k Population Covariance Matrices

amv59 - One Sample Tests for the Sphericity of a Covariance Matrix

amv58 - One Sample Test for the Population Covariance Matrix