Basic Statistics and Probability (2018/19)

6 ECTS credits (4 Boston U. credits)

International program UAM-BU

Instructor: Amparo Baíllo

 

 

Guía docente de la asignatura (official UAM syllabus)

    

Prerequisites: Good background in High School Algebra

                  

Minimum attendance requirement:

Attendance is compulsory. All exams are required.

Make up exams will be given only under very special circumstances.

     

Classroom and timetable:

Classroom 01.00.AU.312 at the UAM Sciences Faculty

Tuesdays and Wednesdays 12:30-13:20; Thursdays 11:30-13:20

Official UAM timetable

 

Office hours: By appointment, either by e-mail or personally in the classroom.

 

Textbook: MCCLAVE, J. and SINCICH, T. Statistics. Pearson Education International.

The latest edition is 13th, but any other recent one will do.

  

Lecture notes:

Chapter 1: Statistics, Data, and Statistical Thinking

Chapter 2: Methods for Describing Sets of Data

Chapter 3: Probability

Chapter 4: Discrete Random Variables

Chapter 5: Continuous Random Variables

Chapter 6: Sampling Distributions

Applet to visualize the sampling distribution of sample means for some parametric populations.

Chapter 7: Inferences Based on a Single Sample: Estimation with Confidence Intervals

Chapter 8: Inferences Based on a Single Sample: Tests of Hypothesis

Chapter 9: Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses

 

► Homework problems:  

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Solutions to: 5.3, 5.4, 5.28, 5.62

Chapter 6

Solutions to: 6.14, 6.15, 6.28, 6.38

Chapter 7

Solutions to: 7.33, 7.55, 7.65, 7.82, 7.88, 7.98

Chapter 8

Solutions to: 8.13, 8.16, 8.40, 8.80, 8.163

Chapter 9

Solutions to: 9.6, 9.9, 9.19

 

► Datasets:

APHASIA.txt

bodyfat.txt

Cavendish.txt

cuckoodat.txt

WhyallaWindSpeed.txt

GOBIANTS.txt

car-speeds-100.txt

chips-ahoy.txt

                                       

Tables:

Normal

Binomial

t

 

Cheatsheet with confidence intervals and hypothesis tests (last updated 24 November 2018)

 

► Evaluation procedures:

During the semester, two quizzes and a midterm will be given. The final grade

will be determined as follows: the final exam will count 40%, the midterm will

count 30%, each quiz will count 15%. The dates are fixed in advance in the official timetable.

 

Exams 2018/19:

Quizzes:

Quiz 1: Quiz1. Solutions.

Quiz 2: Quiz2. Solutions

Midterm: Mid Term. Solutions.

Final: Final. Solutions

 

On the R software:

To download R: The R Project for Statistical Computing

To download RStudio (a free and accessible R interface): RStudio

A manual, written by E. Paradis: “R for beginners