Statistics for the Behavioral Sciences Assignment help

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Statistics

• Statistical versus Everyday Reasoning, Designs & Statistical Techniques, Measures of Center & Spread, Standardization and Z-scores, Linear Transformations, Probability Laws, Distributions of Random Variables, normal distribution, distribution of sample means, central limit theorem, Hypothesis Testing, One Sample Z-Test, One Sample T-test, Effect Size, Confidence Intervals, Paired Sample T Tests for Within-Subjects Designs, Two Sample T Tests for Between-Subjects Designs
• Power Analysis, One-way ANOVA, Two-way ANOVA, Correlation, Regression, Partial Correlation, Multiple Regression, General Linear Model, Categorical Data:, Chi-Square Tests, Grouped freq. dist., graphs, shape, Central Tendency, variability, Population variance & standard deviation, z-scores, Correlation, Linear Regression, Probability, classical, Probability with z-scores, Sampling Distribution, Probability of obtaining a mean, Hypothesis Testing, logic, Uncertainty & errors in hypothesis testing, Directional tests, t-test (one-sample), t-test (two-sample independent), t-test (two-sample independent), one-way ANOVA, Two-way ANOVA, Chi-Square
• Research and Statistics, Use of Statistics in Research, Basic Research Tasks, Comparison Research, Correlational Research, Measurement and Statistics, Types of Data and Measurement Scales, Factors to Consider When Selecting the Statistics, Benefits of Manual Calculations and Software Resources , Descriptive Statistics for Comparison Research, Frequency Distributions - Tables and Graphs, Measures of Central Tendency, Measures of Variability, Transformed Scores, Types of Distributions, Inferential Statistics for Comparison Research -- Hypothesis Testing With a One Group Design, Population Distribution vs. Sampling Distribution
• Probability Issues Related to Inferential Statistics, Confidence Intervals and Alpha Levels in Sampling Distributions, Hypothesis Statement and Other Related Issues - - One Sample Group vs. Norm, Z and Student t Used to Test for Statistical Significance - - One Sample Group, Errors in Decision Making, Inferential Statistics for Comparison Research - - Hypothesis Testing With a Multiple Groups Design, Population Distribution vs. Sampling Distribution, Confidence Interval and Alpha Level in Sampling Distributions, Hypothesis Statement and Other Related Issues - - Multiple Sample Groups, Student t Used to Test for Statistical Significance - - Two-Sample Groups
• ANOVA F Used to Test for Statistical Significance - - Three or More, Chi Square and Other Non-Parametric Tests, Errors in Decision Making, Descriptive Statistics for Correlational Research, Types of Correlations, Scatter Plots and Line of Best Fit, Pearson and Spearman Correlation Coefficients, Other Correlation Coefficients, Limitations of Coefficients, Inferential Statistics for Correlational Research -- Hypothesis Testing, Population Distribution vs. Sampling Distribution, Confidence Interval and Alpha Level in Sampling Distributions, Hypothesis Statement and Basic Assumptions, Determining Statistical Significance, Errors in Decision Making, Regression Analysis, Prediction, and Prediction Accuracy, Simple vs. Multiple Regression Analysis, Coefficient of Determination and Standard Error of Estimate