- Docente: Marco Pichierri
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in Business Administration and Management (cod. 8842)
Course contents
Introduction and Course Objective: This crash course aims to provide a basic understanding of the statistics discipline, covering the main concepts that help students to be good consumers and producers of statistical information. The course introduces students to basic statistics measures and concepts, in order to provide them with the adequate tools to understand the statistical procedures of hypothesis testing that are commonly used in the behavioral sciences.
Learning Outcomes: Class lectures aim to help students to: i) Computing and interpreting basic descriptive statistics (e.g. mean, median, mode, standard deviation, z scores); ii) Creating and interpreting statistical graphs; iii) Use null hypothesis significance testing procedures and related features (e.g. stating the null and research hypotheses, computing degrees of freedom, defining a critical region, computing an effect size, summarizing the results of a study; iv) Understanding the logic of hypothesis testing, p-values, Type I errors, Type II errors, statistical power, and effect sizes; v) Computing and interpreting confidence intervals; vi) Determine which statistic is appropriate in different situations (e.g. single-sample, related, independent t tests); vii) Discovering basic commands of the SPSS software to generate and interpret statistical outputs.
Content Outline: 01. Introduction to Statistics and Frequency Distributions; 02. Central Tendency Measures; 03. Variability; 04. z Scores, Distribution of Sample Means and z for a Sample Mean; 05. Hypothesis Testing with z Scores; 06. Single-Sample t Test; 07. Estimation with Confidence Intervals; 08. Related Samples t Test – Independent Samples t Test; 09. Goodness-of-Fit Chi-Square Test.
Readings/Bibliography
Suggested Textbook: Carlson, K., & Winquist, J. (2018). An Introduction to Statistics: An Active Learning Approach (2nd ed.). Thousand Oaks, CA: Sage Publications
Supplemental and required materials will be available to students on the Campus platform (Insegnamenti OnLine)
Teaching methods
In-class lectures
Office hours
See the website of Marco Pichierri