KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Chi – Square Chapter: Chi- square Test for Homogeneity Reference: – Categorical Data, Contingency tables, Expected & Observed frequencies, Hypothesis testing, Degree of freedom, Chi- square Statistics, Critical value, P value, Assumptions & Interpretations, Applications. After studying this chapter, you should be […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Categorical Data: Chi – Square Chapter: Chi- square Test for Goodness of Fit Reference: – Categorical data, expected frequencies, Null & Alternative Hypothesis, Chi – square test statistics, Degrees of freedom, Critical value & P value, Decision rule, Interpretation, Assumptions & Conditions, Practical Application. […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference for Quantitative Data: Means Chapter: Confidence intervals & Tests Reference: – Confidence intervals for means, Confidence intervals for proportions, Confidence intervals for Differences, Confidence intervals for Regressions, Hypothesis testing, comparing means, Comparing Proportions, Power and Sample Size. After studying this chapter, you should be able […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com Unit: Inference of Quantitative Data: Means Chapter: Interpreting P-values & Population means Reference: – p-value definition, small p-values, Statical significance, population mean interpretation, Directionality, Comparison to significance level, type 1 error, Practical significance, Interpreting p-values in context. After studying this chapter, you should be able to: P-value […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com 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. […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com 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 […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com 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, […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com 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, […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com 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 […]
KAPDEC® | Elite STEM Learning Platform | https://kapdec.com 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: […]