Assignment chapter 01 Solution

$30.00 $24.00

Fundamentals of Bayesian Inference Probability and Inference General notation for statistical inference (1.1–1.2) Bayesian inference (1.3-1.4) Probability as a measure of uncertainty (1.5–1.7) Some useful results from probability theory (1.8) Computation and software (1.9) Introduction to R Slides: Rintro.pdf References: http://cran.wustl.edu/doc/manuals/R-intro.pdf Homework: Sec 1.12 Exercise: 1, 3, 5. (10 points each) Programming (20 points): Movie…

5/5 – (2 votes)

You’ll get a: zip file solution

 

Description

5/5 – (2 votes)

Fundamentals of Bayesian Inference

  1. Probability and Inference

    1. General notation for statistical inference (1.1–1.2)

    1. Bayesian inference (1.3-1.4)

    1. Probability as a measure of uncertainty (1.5–1.7)

    1. Some useful results from probability theory (1.8)

    1. Computation and software (1.9)

Introduction to R

Slides: Rintro.pdf

References: http://cran.wustl.edu/doc/manuals/R-intro.pdf

Homework:

  1. Sec 1.12 Exercise: 1, 3, 5. (10 points each)

  1. Programming (20 points):

Movie DVDs owned by students

The variable Dvds in the student dataset contains the number of movie DVDs owned by students in the class.

  1. Construct a histogram of this variable by use of the hist command.

  1. Summarize this variable by the summary command.

  1. Use the table command to construct a frequency table of the individual values of Dvds that were observed. If one constructs a barplot of these tabled values by use of the command

barplot(table(Dvds))

one will see that particular response values are very popular. Is there any explanation for these popular values for number of DVDs owned?

3. Reading Assignment: Chapter 1 of textbook, An Introduction to R.

Assignment chapter 01 Solution
$30.00 $24.00