User:Tine Bizjak

Decision analysis and risk management 2017

Homework 1

←# : Very good! --Jouni (talk) 08:40, 10 April 2017 (UTC)

Homework 1a: Open policy practice

2. What is shared understanding?

Shared understanding is achieved when all participants of a decision making process understand:

• considered decision options and their outcomes,

• pursued objectives,

• existing facts, opinions and disagreements and

• selection of particular decision option.

Shared understanding is written down and shared with everyone.

9. What are the dimensions of openness?

Dimensions of openness can be used to find out if the work deviates from the openness ideal. They can identify how the openness can make a difference. Dimensions of openness include:

• Scope of participation (who can participate?)

• Access to information (for participants)

• Timing of openness (when can participants participate)

• Scope of contribution (to which parts can participants contribute)

• Impact of contribution (influence of participants contributions?)

18. What parts does the open policy practice consist of?

Open policy practice consists of:

• shared understanding – for all participants (the goal of open policy practice)

• execution (collecting, organising and synthesising scientific knowledge, values); 6 principles (intentionality, causality,critique, shared information objects, openness, reuse)

• evaluation and management (happening before, during and after execution)

• co-creation skills and facilitation or interactional expertise (to organization and synthesis of information)

Source: [Open policy practice]

Homework 1b: Learn the terms in Quizlet

Checked all 5 Quizlet topics. I looked at the flashcards, did tests and matched the terms with their meanings.

Homework 1c: Introduction to critical thinking

Checked some of the videos and did excercises.

Homework 1d: Introduction to probabilities

Checked the content on Khan academy.

Homework 3: Basic concepts of open assessment and co-creation

Task A

Question 1: I have come across the term bootstrap in relation with statistical tests before and am still not sure when this technique is applicable? --# : Zahra Shirani also asked about bootstrap, so see my answer to him. This technique is applicable for example estimating confidence intervals based on a single data set. --Jouni (talk) 09:27, 20 April 2017 (UTC)

Question 2: The definition of multinomial is not very clear. Does it refer to animals or individuals that can be classified into categories? --# : Multinomial refers to distributions that are an extension to binomial distribution. Binomial distribution describes a process, where you repeat a trial that has exactly two possible outcomes, such as tossing a coin. With n trials and probability of success p, binomial distribution describes how likely it is to get k successes out of n. Multinomial is the same except there are more than two possible outcomes, and each of them has a certain probability to occur. It is like a multi-sided dice. --Jouni (talk) 09:27, 20 April 2017 (UTC)