KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Functions involves Parameters, Vectors & Matrices Chapter: Modeling change using Matrices Reference: – Linear Transformations, Matrix Multiplication, Composition of Transformation & properties, Eigen values & eigen vectors, Stretching, Shrinking effect of transformation, Matrix Diagonalization, Markov chains, Differential Equations, Data analysis & Dimensionality reduction, Graph theory. […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Quantitative Data: Slopes Chapter: Selecting an Appropriate Inference Procedure Reference: – Sampling methods & Bias, Confidence Intervals, Hypothesis testing, Type 1 & type 2 Errors, Paired data & Matched pair tests, Chi- squared tests, Regression & correlation, Residual Analysis, Comparing two & Multiple Means, […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Quantitative Data: Slopes Chapter: Setting up & Carry the Testing for regression model Reference: – Regression Analysis, Scatterplot, Hypothesis testing in Regression, Coefficient of determination, Residual Analysis & Diagnostics, Analyzing scatterplot & Variance, Influential Points & Outliers, Transformation, Model Comparison & Selection, Multicollinearity, ANOVA […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Quantitative Data: Slopes Chapter: Confidence Intervals for the Slope of a regression model Reference: – Simple linear regression model, Least squares estimation, Interpreting the slopes, Sampling distribution of the slope, Standard error & Confidence interval for the slope, Hypothesis testing for slope, Degree of […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Proportions Chapter: Type 1 & Type 2 Errors Reference: – Error, false Positive, Probability of making error, Critical Value, Rejection region, False Negative, Factors affecting Type 1 & type 2 errors, Z- tests & t- tests, One tailed & two tailed tests. […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Proportions Chapter: Type 1 & Type 2 Errors Reference: – Error, false Positive, Probability of making error, Critical Value, Rejection region, False Negative, Factors affecting Type 1 & type 2 errors, Z- tests & t- tests, One tailed & two tailed tests. […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Proportions Chapter: Interpreting P-Values & Population Proportion Reference: – Hypothesis Testing, Interpreting P values, Strength of Evidence, Confidence Intervals, comparing two population proportion, Chi- square test proportion, Interpreting Practical Significance, Application & Case studies. After studying this chapter, you should be able […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Proportions Chapter: Constructing & Interpreting Reference: – Measures of center & Spread, Graphical displays, Measuring Associations, Residual Analysis, Probability Distributions, Sampling & Experimental Design, Inference for Categorical data, Interpreting Confidence Intervals, Bias & confounding, Simulation & Randomization, Sample Surveys. After studying this […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Chi Square Chapter: Appropriate Inference Procedure Reference: – Exploring data, Sampling & Experimental design, Probability, Inference, Confidence Intervals, Power & Sample size, Designing Studies, bivariate data, Probability models, Chi- square tests, Inference for categorical data, Inference for Means & Proportions, Multivariate data analysis. […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Chi Square Chapter: Chi – Square Test for Independence Reference: – Exploring data, Sampling & Experimental design, Probability, Inference, Confidence Intervals, Power & Sample size, Designing Studies, bivariate data, Probability models, Chi- square tests, Inference for categorical data, Inference for Means & […]