ITA | ENG
B008939 - STATISTICS FOR SOCIAL SCIENCES
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2021-22
Coorte 2020 - 3-years First Cycle Degree (DM 270/04) in SOCIAL WORK
Course year
Second year - First Semester
Belonging Department
Political and Social Sciences (DSPS)
Course Type
Single education field course
Scientific Area
SECS-S/01 - STATISTICS
Credits
6
Teaching Hours
42
Teaching Term
20/09/2021 ⇒ 10/12/2021
Attendance required
No
Type of Evaluation
Final Grade
Course Content
show
Course program
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Lectureship
Mutuality
Course teached as:
- STATISTICA
3-years First Cycle Degree (DM 270/04) in POLITICAL SCIENCES
- STATISTICA
3-years First Cycle Degree (DM 270/04) in POLITICAL SCIENCES
Teaching Language - Last names J-Z
Italian
Course Content - Last names J-Z
Introduction to statistical methodology.
Descriptive statistics: Frequency distributions, graphs, Measures of position and variability. Bivariate and conditional frequency distributions.
Introduction to probability and random variables.
Introduction to statistical inference: Statistics and sampling distributions
Estimation: Point and interval estimation.
Hypothesis Tests.
Comparison of two groups.
Correlation and linear regression
Descriptive statistics: Frequency distributions, graphs, Measures of position and variability. Bivariate and conditional frequency distributions.
Introduction to probability and random variables.
Introduction to statistical inference: Statistics and sampling distributions
Estimation: Point and interval estimation.
Hypothesis Tests.
Comparison of two groups.
Correlation and linear regression
Suggested readings - Last names J-Z (Search our library's catalogue)
Agresti A., Finlay B. (2020) Statistical method for the social science. Pearson.
Learning Objectives - Last names J-Z
The objective of the course is to allow students to read, interpreter, analyze statistical data from complete and sample survey
Prerequisites - Last names J-Z
Elements of algebra and mathematics taught in secondary schools
Teaching Methods - Last names J-Z
Lectures
Further information - Last names J-Z
materials from e-learning Moodle
Type of Assessment - Last names J-Z
Written exam
Course program - Last names J-Z
Note: the programme for 6 CFU excludes the last two parts: COMPARISON BETWEEN TWO GROUPS; CORRELATION AND LINEAR REGRESSION).
INTRODUCTION TO STATISTICAL METHODOLOGY: Basic concepts
DESCRIPTIVE STATISTICS: Absolute and relative frequency distributions; Graphs: bar plot and histogram, Measures of position: mean, median, mode. Measures of variability: Range; variance and standard deviation, coefficient of variation; Bivariate frequency distributions.
INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES: Sample space and events; Frequentistic probability; Axioms of probability; Conditional probability; Statistical independence; Discrete and continuous random variables; Bernoulli distribution; Normal distribution.
INTRODUCTION TO STATISTICAL INFERENCE: Parameters versus statistics; Sampling distributions; Sampling distribution of the sample mean; of the sample variance and of the sample proportion.
ESTIMATION: Point and interval estimation; Confidence interval for a mean; Confidence interval for a proportion; Choice of sample size.
HYPOTHESIS TESTS: Basic concepts; Neyman-Pearson approach; P-value approach; Test for a mean; Test for a proportion
COMPARISON OF TWO GROUPS: Comparing two means; Comparing two proportions; Comparing means with dependent samples.
COMPARISON BETWEEN TWO GROUPS: Comparison between two means; Comparison between two proportions.
CORRELATION AND LINEAR REGRESSION: Covariance and Pearson correlation coefficient;The linear regression model; Decomposition of the total sum of square; Coefficient of determination
INTRODUCTION TO STATISTICAL METHODOLOGY: Basic concepts
DESCRIPTIVE STATISTICS: Absolute and relative frequency distributions; Graphs: bar plot and histogram, Measures of position: mean, median, mode. Measures of variability: Range; variance and standard deviation, coefficient of variation; Bivariate frequency distributions.
INTRODUCTION TO PROBABILITY AND RANDOM VARIABLES: Sample space and events; Frequentistic probability; Axioms of probability; Conditional probability; Statistical independence; Discrete and continuous random variables; Bernoulli distribution; Normal distribution.
INTRODUCTION TO STATISTICAL INFERENCE: Parameters versus statistics; Sampling distributions; Sampling distribution of the sample mean; of the sample variance and of the sample proportion.
ESTIMATION: Point and interval estimation; Confidence interval for a mean; Confidence interval for a proportion; Choice of sample size.
HYPOTHESIS TESTS: Basic concepts; Neyman-Pearson approach; P-value approach; Test for a mean; Test for a proportion
COMPARISON OF TWO GROUPS: Comparing two means; Comparing two proportions; Comparing means with dependent samples.
COMPARISON BETWEEN TWO GROUPS: Comparison between two means; Comparison between two proportions.
CORRELATION AND LINEAR REGRESSION: Covariance and Pearson correlation coefficient;The linear regression model; Decomposition of the total sum of square; Coefficient of determination