![]() ![]() ![]() ![]() How many people do you have to poll? How do you ensure that your poll is free of bias? How do you interpret your results?Ī widget maker in your factory that normally breaks 4 widgets for every 100 it produces has recently started breaking 5 widgets for every 100.Linear regression is one of the most popular modeling techniques because, in addition to explaining the relationship between variables (like correlation), it also gives an equation that can be used to predict the value of a response variable based on a value of the predictor variable. You want to conduct a poll on whether your school should use its funding to build a new athletic complex or a new library. You and a friend are at a baseball game, and out of the blue he offers you a bet that neither team will hit a home run in that game. What should you look for? What should you not look for? The latest sales data have just come in, and your boss wants you to prepare a report for management on places where the company could improve its business. How would you conduct a test to confirm the drug's effectiveness? Your company has created a new drug that may cure arthritis. 16.3.1 Excel’s RNG – Underlying algorithm.16.3 Assessing Random Number Generator of Excel.16.2 Assessing Excel Results for Univariate Statistics, ANOVA and Estimation (Linear & Non-Linear).16.1 Assessing Excel Results for Statistical Distributions.15.3.2 Comparison of different versions of SPSS.15.3.1 Testing Software Package: SAS, SPSS and S-Plus.15.1.1.2 Results of Binary Representation.15.1.1.1 Binary Representation and Finite Precision.15 Numerical Comparison of Statistical Software.14.2.2 A graphical illustration of Quantile Regression.14.1 Preparing the Grounds for Quantile Regression.13.4.3.1 A Concrete Example of Maximum Likelihood Estimation.13.4.3 Application III: Maximum Likelihood Estimation.13.4.2 Application II: The Rosenbrock Function.13.4.1 Application I: The Himmelblau Function.13.3.6.3.2 Properties of the Quasi Newtonian Method.13.3.6.2.1 Properties of the Method of Steepest Descent.13.3.6.1.1 Properties of the Newtonian Method.13.3.6 Some Specific Algorithms in the Class of Gradient Methods.13.3.2 The General Procedure of Descending Methods.12.5.2 Expansion with orthonormal polynomials.12 Basic Linear Algebra and Gram-Schmidt Orthogonalization.10.22 Derivation of the distribution of the test statistic.10.19 Testing whether Proportion A Is Greater than Proportion B in Microsoft Excel.10.14.1 Do Professors Make More Money at Larger Universities?.10.9.2 Is The Machine Working Correctly?.9.3.1.2 Probability Distribution Function.9.3.1.1 Cumulative Distribution Function.9.2.3 Bernoulli Distribution: The coin toss. ![]() 9.2.1.1 Cumulative Distribution Function.7.4.1 Conclusion: putting it all together.7.1.1 Why have probability in a statistics textbook?.5.3.3.1.2 Sample variance and standard deviation.5.3.3.1.1 Population variance and standard deviation.5.2.6 Relationships among Arithmetic, Geometric and Harmonic Mean.5.2.1.5 Relationship of the Mean, Median, and Mode.2.1.1 Data on a nominal (or categorical) scale.1.5 Probability Theory and Mathematical Statistics.1.3 Statistics as a subset of mathematics. ![]()
0 Comments
Leave a Reply. |