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  1. Courses

IN11A1C - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH

courses
ID:
IN11A1C
Duration (hours):
15
CFU:
1
SSD:
STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA
Located in:
CHIETI
Url:
Course Details:
NURSING/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
  • Syllabus
  • Degrees
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Overview

Date/time interval

Primo Semestre (07/10/2025 - 25/01/2026)

Syllabus

Course Objectives

By the end of the course, the student will be able to: Understand the basic structure and functionalities of a spreadsheet for data management and organization. Create data matrices and use the main functions to calculate fundamental descriptive statistics. Apply data analysis tools, including pivot tables and pivot charts, to summarize and represent quantitative and qualitative information. Perform fundamental statistical tests such as correlation tests, the F-test for homogeneity of variances, Student’s t-test for independent samples, and the chi-square test, interpreting the results in terms of test statistics and p-values. Conduct accurate statistical analyses and present the results in clear reports, including comments and explanations of the techniques used, with particular attention to applications in nursing research.

Course Prerequisites

.Knowledge of basic statistics topics and key statistical tests.

Teaching Methods

Lectures and practical laboratories.

Assessment Methods

Written exam with multiple-choice questions.

Texts

Slides and teaching materials provided by the instructor during the lessons, containing theoretical explanations, practical examples, and guides for using the spreadsheet software.

Contents

Introduction to the spreadsheet and the ribbon interface. Creation and management of data matrices. Basic functions for descriptive statistics (count, sum, mean, mode, median, standard deviation, variance, range, coefficient of variation). Use of the "Data Analysis" tool for descriptive statistics and statistical tests. Creation of pivot tables and charts for quantitative and qualitative data. Application and interpretation of statistical tests: correlation, F-test, Student’s t-test, chi-square test. Preparation of reports including results, comments, and techniques used.

Course Language

Italian

More information

For information and to request an appointment, please contact Prof. Annalina Sarra at annalina.sarra@unich.it

Degrees

Degrees

NURSING 
Bachelor’s Degree
3 years
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People

People

SARRA Annalina
Gruppo 13/STAT-01 - STATISTICA
AREA MIN. 13 - Scienze economiche e statistiche
Settore STAT-01/A - Statistica
Docenti di ruolo di IIa fascia
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