Unit: inference for Quantitative Data: Means Chapter: Setting up and carry the testing Reference: – Null and alternative hypotheses, significance level, One sample z-test and t-test, Two sample tests, Type 1 and Type 2 errors, p value interpretation, Critical value and rejection Regions, chi-square test, paired t-test. After studying this chapter, you should be able […]
Unit: Inference for Quantitative Data: Means Chapter: Constructing and interpreting Reference: – Language and communication, Art and media, Data and statistics, Architecture and design, Literature and Textual Analysis, Science and Research, Cultural Studies, Historical analysis, Mathematics Logic, Film and media Production. After studying this chapter, you should be able to: Mathematics logic. Data and Statistics. […]
Unit: Sampling Distributions Chapter: Sampling Distributions for Sample proportions & Means Reference: – Sample Proportion, Interpreting, Sample Distribution, Mean & Standard deviation, Normal distribution, Central limit theorem & Applications, Sample Means, Comparing Proportions, Interpreting p Values, Hypothesis Testing, Sample size & Sample Bias. After studying this chapter, you should be able to: Sample Proportion & […]
Unit: Sampling Distributions Chapter: Biased & Unbiased Point Estimates Reference: – Population & Sample, Point estimates & Parameters, Accuracy Bias, Unbiased point estimates, Interpreting & Comparing, Mean & Variance of sample means, Sample proportion & Bias, Maximum likelihood estimation, Methos of moments estimation, Sample size & estimation, Application & Examples. After studying this chapter, you […]
Unit: Sampling Distributions Chapter: Central Limit Theorem Reference: – Central limit theorem, Sampling distributions, Conditions for applications, Normal distribution, Sample mean distribution, Sample proportion distribution, Calculations, Applications, Margin of error, Confidence intervals, Hypothesis testing, Examples. After studying this chapter, you should be able to: Introduction to Central Limit theorem & Sampling distributions. Normal distribution & […]
Unit: Sampling Distributions Chapter: Variation in Statistics for Collected Samples Reference: – Sampling methods, Bias & Randomness, Variability & Spread, Sampling distribution, Central limit theorem, Standard errors, Confidence intervals, Margin of error, hypothesis testing, Variability & Sample size. After studying this chapter, you should be able to: Sampling Methods, Bias & Randomness. Variability, Spread & […]
Unit: Probability, Random Variables & Probability Distributions Chapter: Random Variables & Probability Distributions Reference: – Random Variables & Its types, Discrete Probability distribution, Continuous probability distributions, Expected Value & Variance, Law of Large Number & Central limit Theorem, Sampling Distributions, Transformations, Joint Distributions, Independent Random Variables, Bivariate data, Probability Models. Probability Mass function, Mean & […]
Unit: Probability, Random Variables & Probability Distributions Chapter: Random Event Probability Calculating Reference: – Sample spaces & Events, Probability definitions & Rules, Complementary & Mutually exclusive events, Conditional probability, Independence & Dependence, Probability distributions, Law of large number & Simulations, counting principles, Expected value & Variance, Central Limit theorem. After studying this chapter, you […]
Unit: Probability, Random Variables & Probability Distributions Chapter: Simulation to Estimate Probabilities Reference: – Random Sampling, Simulation methods, Monte Carlo simulation, Probability models, Experimental design, Randomization, Event Probability estimation, Law of large numbers, confidence intervals, Hypothesis testing, Error & variability, Visualizing probabilities. After studying this chapter, you should be able to: Random Sampling & […]
Unit: Collecting Data Chapter: Sources of Bias & Designing Experiment. Reference: – Types of Bias & their sampling methods, non-responsive bias, Minimization, Under coverage bias, Voluntary response bias, Response bias, Experimental design, Controlled Experiments, Causation vs Correlation, Sampling techniques & Validity, Ethical considerations, Bias in surveys & Experiments After studying this chapter, you should be […]