Master The Numbers: Unlock The Secrets Of Statistics And Sup

Understanding and Applying Descriptive Statistics

What you'll learn

Core Concepts: Descriptive statistics. Probability theory and distributions. Inferential statistics.

Practical Skills, Data Handling. Mindsets for Success; Critical Thinking.

Developing Proficiency in Data Visualization: interpret graphs and charts to visually represent psychological data and communicate findings effectively.

Prerequisites Mathematical Foundation: Basic algebra and arithmetic skills. Understanding of basic mathematical concepts like functions and graphs.

Basic Algebra and Arithmetic Skills. Understanding of Basic Mathematical Concepts: Functions and graphs.

Requirements

Mathematical Foundation Basic Algebra and Arithmetic Skills

Understanding of Basic Mathematical Concepts: Functions and graphs.

Description

Understanding and Applying Descriptive StatisticsStudents will be able to calculate and interpret measures of central tendency (mean, median, mode) and measures of variability (range, variance, standard deviation) to summarize psychological data. They will learn how these statistics describe the distribution and spread of data in psychological research and how to use them to make informed decisions about the data.Performing and Interpreting Inferential StatisticsStudents will learn to conduct and interpret various inferential statistical tests (t-tests, chi-square tests, ANOVA) to draw conclusions about psychological research data. They will understand the importance of hypothesis testing, p-values, and confidence intervals in making inferences about populations based on sample data, with a focus on applications in psychology.Developing Proficiency in Data VisualizationStudents will create and interpret graphs and charts (histograms, bar charts, scatter plots) to visually represent psychological data and communicate findings effectively. They will explore the role of visualizations in identifying patterns, trends, and outliers in psychological research, and how to use them to enhance the clarity and impact of their reports.Applying Statistical Software in Psychological ResearchStudents will gain hands-on experience using statistical software (such as SPSS, R, or Excel) to input data, perform statistical analyses, and interpret output in the context of psychological studies. They will learn how to manage datasets, run various statistical tests, and present their findings, preparing them for real-world research and data analysis in psychology.

Overview

Section 1: Introduction to Statistics for Psychology

Lecture 1 Basics of Descriptive Statistics

Lecture 2 Probability and Probability Distributions

Lecture 3 Inferential Statistics and Hypothesis Testing

Lecture 4 Correlation and Regression Analysis

Lecture 5 Chi-Square Tests and ANOVA

Lecture 6 "Understanding Theoretical Aspects of Descriptive Statistics":

statistics course aimed at psychology students: Understanding and Applying Descriptive Statistics