Biological Statistics Assignment help , Biological Statistics Homework help
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Online Biological Statistics Assignment help tutors help with topics like Basic Probability Theory, Motivation, Definitions, Examples, Conditional Probability, Independence, Bayes’ Theorem, Applications: ROC curves, Odds Ratios, Relative Risk.
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- Exploratory Data Analysis
- Motivation, Population vs. Sample
- Definitions, Examples, Medical Study Designs
Classical Probability Distributions and Applications, Discrete Models: Binomial, Poisson, Continuous Models: Normal, Normal Distribution, Sampling Distributions, Central Limit Theorem, Statistical Inference and Hypothesis Testing , One Sample Inference,, Mean:Z-andt-tests, Type 1 and Type 2 Errors, Power and Sample Size, One Sample Proportion, Two Sample Means, Nonparametric tests, Statistical Inference.
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- Graphical Displays: Dotplots, Stemplots, Histograms
- Summary Statistics: Measures of Center
- Summary Statistics: Measures of Spread
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Correlation and Regression, Two Sample Proportions:, Z-and Chi-squared tests,, McNemar’s Test, Mantel-Haenszel summary odds ratio, Multiple Samples: Proportions and Means
- Linear Correlation Coefficient and Regression, Inference,, ANOVA formulation, Survival Analysis, Extensions of Simple Linear Regression, Survival Functions, Hazard Functions,, Kaplan-Meier Formula, Log-Rank Test, Cox Proportional Hazards Model, Describing data: frequency distributions, descriptive statistics, Sampling, Elements of probability theory & Probability distributions, Probability Distributions, inference, Sampling Distributions & Confidence intervals, HypothesisTesting, Comparing two sample means.
- Type I & II errors, SPSS Descriptive Statistics, Comparing Two Means, Statistical power, Statistical, power, errors in hypothesis testing, Conditions for test validity; Transformations, SPSS Checking Conditions & Transforming Data, Non-parametric alternatives: Analysis of Variance (ANOVA), SPSS ANOVA II: Transformations & Non-parametric alternatives, Multiple Comparisons, bivariate analysis.
- Correlation & regression, Linear regression, SPSS Regression, Analysis of categorical data, Descriptive statistics: variables and observations,, empirical distribution, bar chart, stem and leaf,, histogram,box-and-whiskers, location,, dispersion,shape, Probability: Binomial distribution,, Normal, Inference: estimation & confidence intervals, significance/hypothesis testing, one-way anova, simple linear regression., Baldi and Moore