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- Statistics for Psychology
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Learning Material
Title
Volume
Descriptive Statistics
5.89 MB
<p>Descriptive Statistics: This chapter covers measures of central tendency (mean, median, mode) and measures of dispersion (variance, standard deviation), as well as graphical representations of data like histograms and box plots.</p>
Probability: Probability theory, including basic concepts like probability distributions, conditional probability, and the laws of probability.
5.89 MB
<p>Probability: Probability theory, including basic concepts like probability distributions, conditional probability, and the laws of probability.</p>
Sampling and Sampling Distributions
5.89 MB
<p>Sampling and Sampling Distributions: This chapter explores the principles of sampling, sampling methods, and the central limit theorem, which is essential for inferential statistics.</p>
Hypothesis Testing
5.89 MB
<p>Hypothesis Testing: Hypothesis testing involves formulating and testing hypotheses about population parameters based on sample data. Topics may include null and alternative hypotheses, p-values, and significance levels.</p>
Inferential Statistics - Parametric Tests
5.89 MB
<p>Inferential Statistics - Parametric Tests: This section delves into specific parametric tests such as t-tests, ANOVA (Analysis of Variance), and linear regression. These tests are used to analyze relationships and differences between variables.</p>
Inferential Statistics - Nonparametric Tests
5.89 MB
<p>Inferential Statistics - Nonparametric Tests: Nonparametric tests are introduced for situations where parametric assumptions cannot be met. Topics may include the Wilcoxon rank-sum test and the Chi-square test for independence.</p>
Correlation and Regression
5.89 MB
<p>Correlation and Regression: This chapter covers correlation coefficients (e.g., Pearson's r) and simple linear regression analysis to understand relationships between variables.</p>
Experimental Design and Analysis of Variance (ANOVA)
5.89 MB
<p>Experimental Design and Analysis of Variance (ANOVA): This chapter focuses on experimental design principles, including independent and dependent variables, control groups, and the use of ANOVA for analyzing experiments with multiple groups or factors.</p>
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