What is the discriminant of 3x^2 - 10x = -2? The Discriminant of a Quadratic Equation A polynomial equation in the same type of variable that has degree two is known as the quadratic equation. Mathematically, a standard quadratic equation can be expressed as: ...
What is the discriminant? In this lesson, learn the formula for how to find the discriminant of a quadratic equation. Moreover, learn about the quadratic formula, its discriminant, and the different discriminant rules. Related to this QuestionWhat...
What is the discriminant of 2x2 plus 23x plus 63 equals 0? The discriminant is 25. Trending Questions What is 2.2 million divided by 7?If 3 4 of a sum of money is 24p what is 1 4 of the money?How many square feet is 90 inches x 96 inches?Which expressions are equivalent to 9...
Discriminant validity refers to the extent to which a test is not related to other tests that measure different constructs.
Because the zeros are integral, the discriminant of the function, a2−8a, is a perfect square, say k2. Then adding 16 to both sides and completing the square yields (a−4)2=k2+16. Therefore (a−4)2−k2=16 and ((a−4)−k)((a−4)+k)=16. Let (a−4)−k=u a...
Background: Despite concerns of conceptual similarity, increasing evidence supports the discriminant validity of Complex Posttraumatic Stress Disorder (CPTSD) and Borderline Personality Disorder (BPD). However, all studies to date have assumed a categorical model of psychopathology. In contrast, dimensional...
Similarly, two biased measures will confirm one another. Thus, criterion validity is no guarantee that a measure is in fact valid. It’s best used in tandem with theother types of validity. Here's why students love Scribbr's proofreading services ...
Learn what is fine tuning and how to fine-tune a language model to improve its performance on your specific task. Know the steps involved and the benefits of using this technique.
Some of the common clustering algorithms are as follows: Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Non-negative Matrix Factorization (NMF) 3. Reinforcement Learning Reinforcement Learning (RL)is a machine learning technique in which an agent learns to make decisions in an...
We also compare the driving factors of the LRG ratings for Moody's and Standard and Poor's. The results of linear discriminant analysis (LDA) suggest that a small subset of financial and economic variables provides useful information for the LRG or its creditors in its rating assessment. The ...