tarifu «V.U.C.A NGHOPUTA MMEBE»

What is V.U.C.A.?

V.U.C.A. is an acronym that defines the conditions that affect organizations in a changing and complex world. It was designed to help us factor in the forces of change and uncertainty in our projects and businesses. V.U.C.A. stands for volatility, uncertainty, complexity, and ambiguity. 

• Volatility refers to the rate of change and churn in a business or situation. 
• Uncertainty refers to the lack of predictability or high potential for surprise. In an uncertain environment, it would be difficult to create plans for the future that we're not based on a large number of assumptions that could turn out to be incorrect. 
• Complexity refers to the high number of interrelated forces, issues, organizations, and factors that would influence the life and business. 
• Ambiguity refers to the possibility of misunderstanding the conditions and root causes of events or circumstances.

How to apply V.U.C.A.?

It's a concept developed to deal with these forces in a changing and uncertain world. Businesses can apply the concept of V.U.C.A. as a tool for determining how best to approach business projects. Introducing certainty through SDTEST + correlation.

What is correlation?

Correlation is a term used in various fields of knowledge, including psychology, to denote the mutual correlation and correspondence of concepts and phenomena.

What is correlation dependence?

Correlation dependence is the changes that the values of one attribute contribute to the probability of different values of another attribute appearing.

What is a positive correlation?

It is when another accompanies an increase in one variable or when high values of one are associated with high values of another, and low values are associated with low values.

What does a positive correlation show?

The relationship between two variables can be as follows - when the values of one variable increase, the values of the other variable also increase. It is what a positive correlation coefficient shows.

What is a negative correlation?

It is when an increase in the other accompanies a decrease in one variable or when high values of one are associated with low values of the other, and low values are associated with high values.

What does a negative correlation show?

The relationship between two variables can be as follows - when the values of one variable decrease, the values of the other variable increase. It shows a negative correlation coefficient. Such variables are said to be negatively correlated.

What is correlation coefficient?

The correlation coefficient in mathematical statistics is an indicator characterizing the strength of the statistical relationship between two or more random variables.

Their common feature is that they reflect the relationship of two traits measured on a quantitative scale - rank or metric.

What is statistical significance?

Statistical significance is an assessment of whether an event is due to chance. If an outcome is statistically significant, it is unlikely to occur due to random events or fluctuations.

How does determine if a relationship is significant (credible)?

There is a threshold for determining statistical significance. The critical value of the correlation coefficient determines it. If the obtained value of the correlation coefficient is higher than the critical value, such correlation is considered to be statistically significant (reliable). 

Critical Value of the Correlation Coefficient

The critical value of the correlation coefficient is a threshold value used to test the significance of a correlation. It indicates at what value of the correlation coefficient it can be concluded that the discovered relationship between variables is statistically significant and not due to chance. This value depends on the significance level (e.g., 0.05 or 0.01) and the number of observations.

Why is the symbol r used for the critical value?

The letter r is used to denote the critical value because this value refers directly to the correlation coefficient. The symbol r itself, in this context, continues to denote the correlation coefficient (either Pearson or Spearman), and the "critical value" simply means the threshold that must be reached or exceeded in order to consider the correlation statistically significant.

Continuity and Convenience

Using the same symbol for the correlation coefficient and its critical value helps to avoid confusion and simplifies working with tables of critical values. Usually, the critical value r is found using special tables for Pearson or Spearman, depending on the method and level of significance, which is directly related to the correlation coefficient.

Thus, the Latin letter r continues to serve to designate the correlation coefficient as a value, and the addition of the term "critical" indicates its threshold value in the context of hypothesis testing.

How to use the tariff?

2. Next you need to buy the tariff «V.U.C.A nghoputa mmebe».

3. Go to «My tariffs» in the Menu and choose bookmark «Survey +».

4. Choose the button «V.U.C.A.» under the bookmark «Survey +».

5. Create a new poll.

6. Copy and share the link to the poll.

6.1. Buy the tariff «My Name Subdomain» if you want to personalise your link.

6.2. Buy the tariff «My Logo» if you want to increase awareness of your corporate or personal brand*.

* The user is solely and entirely responsible for complying with the legal requirements of the Copyright Treaty of the World Intellectual Property Organization, the Berne Convention for the Protection of Literary and Artistic Works, and the WIPO Copyright Treaty.

SDTEST's reports of V.U.C.A. polls:

1) Omume nke ụlọ ọrụ metụtara ndị ọrụ nọ n'ọnwa gara aga (ee / Mba)

2) Omume nke ụlọ ọrụ metụtara ndị ọrụ nọ n'ọnwa gara aga (eziokwu na%)

3) Atughi egwu

4) Nnukwu nsogbu chere obodo m

5) Olee àgwà na ikike na-eme ezi ndị nduzi na-eji mgbe ha na-eme ihe ọma?

6) Google. Ihe ndị na-emetụta otu ndị otu

7) Isi ihe ndị na-achọ ọrụ

8) Kedu ihe na-eme onye isi nnukwu onye ndu?

9) Gịnị na-eme ka ndị mmadụ nwee ihe ịga nke ọma n'ọrụ?

10) Ready dịla njikere ịnata obere ụgwọ ịrụ ọrụ?

11) Ọdịbi dị adị?

12) Ọhụrụ na Ọrụ

13) Ọhụrụ na ndụ

14) Na-akpata afọ ojuju

15) Ihe kpatara ndị mmadụ ji hapụ (site na Anna dị mkpa)

16) Ntukwasi obi (#WVS)

17) Nnyocha nyocha Oxford

18) Ime Ihe Oche

19) Ebee ka ị ga-eme gị na-atọ ụtọ?

20) Kedu ihe ị ga - eme n'izu a iji lekọta ahụike gị?

21) M na-eche banyere m gara aga, ugbu a ma ọ bụ ọdịnihu

22) Ebere

23) Ọgụgụ isi na njedebe nke mmepe

24) Gịnị mere ndị mmadụ ji ewe iwe?

25) Ime ihe dị iche na iji wuo ntụkwasị obi onwe ya (IFD nonsbach)

26) Xing.com omenala

27) Patrick Lengsioni's "Dysfuntions nke otu"

28) Mmetụta ọmịiko bụ ...

29) Gịnị dị mkpa maka ya na ndị ọkachamara n'ịhọrọ ọrụ?

30) Ihe mere ndị mmadụ ji emegide mgbanwe (site na Siobhán Mchale)

31) Kedu ka ị ga - esi chịkwaa obi gị? (site na mulhalla m.a.)

32) 21 nkà na-akwụ gị ụgwọ ruo mgbe ebighi ebi (nke Jeremaịa Teo / 赵汉昇)

33) Ezigbo nnwere onwe bụ ...

34) 12 Wayzọ iji wuo ntụkwasị obi na ndị ọzọ (site na Justin Wright)

35) Njirimara nke onye na-arụ ọrụ (nke Talent Magent)

36) Igodo 10 iji kpalie ndị otu gị

37) Algebra nke akọ na uche (nke Vladimir Lefebvre)

38) Ohere atọ pụrụ iche nke ọdịnihu (nke Dr. Clare W. Graves)

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