### Sumários

##### Sampling distribution of the ratio of variances from two independent normal populations

11 Dezembro 2013, 15:30 • Graça Leão Fernandes

Sampling distribution of the ratio of variances from two independent normal populations:

- definition;

- the F distribution - definition, table consultation

- resolution of the 6th Theoretcal question.

##### Normal population sampling

9 Dezembro 2013, 16:00 • Graça Leão Fernandes

Sampling distribution of the sample mean:

- variance of the population known;

- variance of the population unknown - t-distribution ( symmetry, mean, table consultation)

and the sample variance drawn from a normal population.

Sampling distribution of the difference of the sample means drawn from a normal two normal populations:

- populations variances known;

- populations variances unknown but assumed equal;

- populations variances unknown but unequal - Welch aproximation;

Sampling distribution of the ratio of the sample variances drawn from a normal two normal populations: F-distribution ( assymmetry, table consultation).

##### Sampling distribution. Distribution of the sample.

4 Dezembro 2013, 15:30 • Graça Leão Fernandes

Distribution of the sample.

Sampling distribution of a statistic:

- Methods to find sampling distributions: m.g.f., C.L.T, simulation;

- Sample mean and variance and their parameters;

- Asymptotic distribution of the mean;

- Sampling distribution of the sample proportion in a Bernoulli Population;

- Sampling distribution of the difference of sample proportions in Bernoulli Populations.

##### Sampling distribution of a statistic. Mean and variance of the sample mean. Assyntotic sampling distributions.

2 Dezembro 2013, 16:00 • Graça Leão Fernandes

The class did not take place because there were only 1 student in the room.

The subjects in the title are considered taught.

##### Normal distribution, Central Limit Theorem and De Moivre -Laplace Theorem

28 Novembro 2013, 16:30 • Graça Leão Fernandes

Exercises from the book: 6.62, 6.64, 6.70, 6.75, 6.77

Exercises from extra exercises for chapter 5: 7, 8, 27, 28, 36