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Economia e gestione delle imprese (Academic Year 2019/2020) - Financial management

Statistics and business statistics



Videolesson

Lesson n. 1: Introduction and basics in statistics
   Introduction
   How statistics is fundamental to business
   The basic concepts and vocabulary of statistics 		Go to this lesson Massimo Tivegna
Lesson n. 2: Organizing data
   How to interpret statistical tables
   Typology of data
   Frequency distributions 		Go to this lesson Massimo Tivegna
Lesson n. 3: Visualizing data
   Visualizing data
   How to draw charts for categorical data
   How to draw charts for numerical data 		Go to this lesson Massimo Tivegna
Lesson n. 4: Numerical descriptive measures – Part I Go to this lesson Massimo Tivegna
Lesson n. 5: Numerical descriptive measures - Part II
   introduction
   sample variance and standard deviation
   coefficient of variation 		Go to this lesson Massimo Tivegna
Lesson n. 6: Numerical descriptive measures - Part III
   introduction
   the quantiles
   visual representations of median and quantiles 		Go to this lesson Massimo Tivegna
Lesson n. 7: Numerical descriptive measures - Part IV
   five-number representation
   sample parameters and population parameters
   an empirical rule for distributions 		Go to this lesson Massimo Tivegna
Lesson n. 8: Numerical descriptive measures - Part V
   outliers and how to spot them
   covariance and correlation 		Go to this lesson Massimo Tivegna
Lesson n. 9: Basic probability
   introduction
   basic probability concepts and related matters
   the terminology of events
   additive probability
   conditional probability 		Go to this lesson Massimo Tivegna
Lesson n. 10: Less basic probability
   introduction
   marginal probability
   bayes 		Go to this lesson Massimo Tivegna
Lesson n. 11: Discrete probability distributions
   introduction
   the properties of a discrete probability distribution
   to compute the expected value variance and standard error of a probability distribution 		Go to this lesson Massimo Tivegna
Lesson n. 12: Binomial and poisson probability distributions – Part I
   to compute the expected value variance and standard error of a probability distribution
   binomial probability distribution
   to compute probabilities from the binomial distribution 		Go to this lesson Massimo Tivegna
Lesson n. 13: Binomial and poisson probability distributions – Part II
   introduction
   binomial distribution formula
   how to use the poisson distribution
   to compute probabilities from the poisson distribution 		Go to this lesson Massimo Tivegna
Lesson n. 14: The normal distribution - Part I
   the normal distribution
   how to move from the normal to the standard normal and why
   comparing x and z unitis 		Go to this lesson Massimo Tivegna
Lesson n. 15: The normal distribution - Part II
   introduction
   introduction to the standard normal
   how to compute probabilities from the normal and standard normal distributions
   given a normal probability find the x value 		Go to this lesson Massimo Tivegna
Lesson n. 16: The normal distribution - Part III
   introduction
   how to establish whether a data set is normally distribution. an example
   how to use the normal probability plot to determine whether a set of data is approximately normally distributed 		Go to this lesson Massimo Tivegna
Lesson n. 17: Sampling and sampling distributions – Part I
   introduction
   the concept of the sampling distribution and the role of the sample mean and its standard error
   developing a sampling distribution
   sampling distribution properties 		Go to this lesson Massimo Tivegna
Lesson n. 18: Sampling and sampling distributions – Part II Go to this lesson Massimo Tivegna
Lesson n. 19: Sampling and sampling distributions – Part III
   introduction
   the importance and use of the central limit theorem
   population proportions 		Go to this lesson Massimo Tivegna
Lesson n. 20: Confidence interval estimation - Part I
   introduction
   the concept of point estimates and of confidence intervals and their usefulness and limits
   confidence intervals for the means and for proportions
   estimation process 		Go to this lesson Massimo Tivegna
Lesson n. 21: Confidence interval estimation - Part II
   introduction
   how to compute confidence intervals depending on whether the standard error σ is known or unknown
   an introduction of student’s “t” when σ is unknown 		Go to this lesson Massimo Tivegna
Lesson n. 22: Confidence interval estimation - Part III
   introduction
   to construct and interpret confidence interval
   how to determine the sample size 		Go to this lesson Massimo Tivegna
Lesson n. 23: Fundamentals of hypothesis testing: one-sample tests - Part I
   introduction
   null hypothesis and alternative hypothesis
   compare confidence intervals with hypothesis testing
   testing errors of type 1 and type 2 		Go to this lesson Massimo Tivegna
Lesson n. 24: Fundamentals of hypothesis testing: one-sample tests - Part II
   confidence decisions in hypothesis testing
   type I & II error relationship
   six steps in hypothesis testing when σ is known 		Go to this lesson Massimo Tivegna
Lesson n. 25: Fundamentals of hypothesis testing: one-sample tests - Part III
   introduction
   use of p-value in hypothesis testing
   t test of hypothesis testing for the mean when σ is unknown 		Go to this lesson Massimo Tivegna
Lesson n. 26: Fundamentals of hypothesis testing: one-sample tests - Part IV
   introduction
   one-tail tests and p-value approach
   tail test for proportions 		Go to this lesson Massimo Tivegna
Lesson n. 27: Two-sample tests - Part I
   introduction
   difference between two means
   pooled-variance t test example 		Go to this lesson Massimo Tivegna
Lesson n. 28: Two-sample tests - Part II
   introduction
   hypothesis testing, µ1-µ2, with σ1 and σ2 unknown, not assumed equal
   the paired difference test and confidence intervals in two populations means for two related samples
   testing and building confidence intervals for two different population proportions 		Go to this lesson Massimo Tivegna
Lesson n. 29: Two-sample tests - Part III
   introduction
   two population proportions
   the “f”distribution to test for the difference between two population variances 		Go to this lesson Massimo Tivegna
Lesson n. 30: One-way Anova: hints
   introduction
   one-way ANOVA 		Go to this lesson Massimo Tivegna
Lesson n. 31: Chi-square tests - Part I
   introduction
   contingency tables
   the chi 2 test for the difference between two proportions 		Go to this lesson Massimo Tivegna
Lesson n. 32: Chi-square tests - Part II
   introduction
   the chi 2 test for differences in more than two proportions
   the chi 2 test for independence 		Go to this lesson Massimo Tivegna
Lesson n. 33: Simple linear regression - Part I
   introduction
   how to measure direction and strength of these relationships
   how to estimate coefficients in regression analysis 		Go to this lesson Massimo Tivegna
Lesson n. 34: Simple linear regression - Part II
   introduction
   the meaning of the regression coefficients bo and b1
   measures of goodness of fit of the regression 		Go to this lesson Massimo Tivegna
Lesson n. 35: Simple linear regression - Part III
   introduction
   residual analysis
   the durbin- watson statistics to detect autocorrelation 		Go to this lesson Massimo Tivegna
Lesson n. 36: Simple linear regression - Part IV
   introduction
   “t” test
   “f” test
   confidence intervals 		Go to this lesson Massimo Tivegna
Lesson n. 37: Introduction to multiple regression - Part I
   Introduction
   how to develop a multiple regression model
   how to interpret the regression coefficients
   prediction with a multiple regression model
   coefficient of multiple determination 		Go to this lesson Massimo Tivegna
Lesson n. 38: Introduction to multiple regression - Part II
   introduction
   the coefficient of multiple determination
   statistical significance of the entire model
   statistical assumptions of the multiple regression model 		Go to this lesson Massimo Tivegna
Lesson n. 39: Introduction to multiple regression - Part III
   introduction
   statistical significance “t” tests
   dummy variables 		Go to this lesson Massimo Tivegna
Lesson n. 40: Summing-up and beyond
   broad areas covered in the course
   what is statistics useful for
   beware normality
   from statistics to econometrics 		Go to this lesson Massimo Tivegna