categorical performance characteristics

Polish translation: jakościowe / kategoryczne parametry użytkowe

GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)
English term or phrase:categorical performance characteristics
Polish translation:jakościowe / kategoryczne parametry użytkowe
Entered by: Jacek Kloskowski

19:43 Apr 24, 2019
English to Polish translations [PRO]
Environment & Ecology / general
English term or phrase: categorical performance characteristics
Tekst o badaniach mikrobiologicznych wody.

Kontekst:
Determination of the categorical performance characteristics: sensitivity, specificity, selectivity, false positive rate and false negative rate
Małgorzata Rymsza
United Kingdom
Local time: 01:51
jakościowe / kategoryczne parametry użytkowe
Explanation:
HOW TO DISTINGUISH QUANTITATIVE AND CATEGORICAL VARIABLES

When working with statistics, it’s important to understand some of the terminology used, including quantitative and categorical variables and how they differ. The trick is to get a handle on the lingo right from the get-go, so when it comes time to work the problems, you’ll pick up on cues from the wording and get going in the right direction.

QUANTITATIVE VARIABLES
Quantitative variables are measured and expressed numerically, have numeric meaning, and can be used in calculations. (That’s why another name for them is numerical variables.) Although zip codes are written in numbers, the numbers are simply convenient labels and don’t have numeric meaning (for example, you wouldn’t add together two zip codes).

CATEGORICAL VARIABLES
A categorical variable doesn’t have numerical or quantitative meaning but simply describes a quality or characteristic of something.

The numbers used in categorical or qualitative data designate a quality rather than a measurement or quantity. For example, you can assign the number 1 to a person who’s married and the number 2 to a person who isn’t married. The numbers themselves don’t have meaning — that is, you wouldn’t add the numbers together.

SAMPLE QUESTIONS
Which of the following is an example of a quantitative variable (also known as a numerical variable)?

(A) the color of an automobile

(B) a person’s state of residence

(C) a person’s zip code

(D) a person’s height, recorded in inches

(E) Choices (C) and (D)

Answer: D. a person’s height, recorded in inches

Which of the following is an example of a categorical variable (also known as a qualitative variable)?

(A) years of schooling completed

(B) college major

(C) high-school graduate or not

(D) annual income (in dollars)

(E) Choices (B) and (C)

Answer: E. Choices (B) and (C) (college major; high-school graduate or not)

College major (such as English or mathematics) and high-school graduate (yes or no) both describe non-numerical qualities.

Dane ilościowe i kategoryczne

Typ danych określa operacje, które możesz wykonać na tych danych. Zgodnie z podstawowym podziałem danych wyróżnia się dane jakościowe (kategoryczne) oraz dane ilościowe (numeryczne).

Przykładami danych kategorycznych mogą być numery ID, płeć oraz odpowiedzi udzielane w ankietach, takie jak Tak lub Nie.

Przykłady danych ilościowych to waga podana w kilogramach, czas wyrażony w sekundach lub liczba respondentów ankiety.

Dane ilościowe mogą być ciągłe lub dyskretne. Dane dyskretne zawierają skończone wartości, które da się policzyć, takie jak liczba pracowników w oddziale. Dane ciągłe stanowią continuum o nieskończonej liczbie możliwych obserwacji (np. wysokość, waga lub czas).

Nie wszystkie liczby to dane ilościowe. Na przykład numery telefonów, numery ID oraz numery kont to dane numeryczne, ale średnia z numerów telefonów lub mediana z numerów ID nie miałyby sensu.

https://www.ibm.com/support/knowledgecenter/pl/SSEP7J_10.1.1...

Selected response from:

Jacek Kloskowski
United States
Local time: 20:51
Grading comment
4 KudoZ points were awarded for this answer



Summary of answers provided
3 +1jakościowe / kategoryczne parametry użytkowe
Jacek Kloskowski


  

Answers


40 mins   confidence: Answerer confidence 3/5Answerer confidence 3/5 peer agreement (net): +1
jakościowe / kategoryczne parametry użytkowe


Explanation:
HOW TO DISTINGUISH QUANTITATIVE AND CATEGORICAL VARIABLES

When working with statistics, it’s important to understand some of the terminology used, including quantitative and categorical variables and how they differ. The trick is to get a handle on the lingo right from the get-go, so when it comes time to work the problems, you’ll pick up on cues from the wording and get going in the right direction.

QUANTITATIVE VARIABLES
Quantitative variables are measured and expressed numerically, have numeric meaning, and can be used in calculations. (That’s why another name for them is numerical variables.) Although zip codes are written in numbers, the numbers are simply convenient labels and don’t have numeric meaning (for example, you wouldn’t add together two zip codes).

CATEGORICAL VARIABLES
A categorical variable doesn’t have numerical or quantitative meaning but simply describes a quality or characteristic of something.

The numbers used in categorical or qualitative data designate a quality rather than a measurement or quantity. For example, you can assign the number 1 to a person who’s married and the number 2 to a person who isn’t married. The numbers themselves don’t have meaning — that is, you wouldn’t add the numbers together.

SAMPLE QUESTIONS
Which of the following is an example of a quantitative variable (also known as a numerical variable)?

(A) the color of an automobile

(B) a person’s state of residence

(C) a person’s zip code

(D) a person’s height, recorded in inches

(E) Choices (C) and (D)

Answer: D. a person’s height, recorded in inches

Which of the following is an example of a categorical variable (also known as a qualitative variable)?

(A) years of schooling completed

(B) college major

(C) high-school graduate or not

(D) annual income (in dollars)

(E) Choices (B) and (C)

Answer: E. Choices (B) and (C) (college major; high-school graduate or not)

College major (such as English or mathematics) and high-school graduate (yes or no) both describe non-numerical qualities.

Dane ilościowe i kategoryczne

Typ danych określa operacje, które możesz wykonać na tych danych. Zgodnie z podstawowym podziałem danych wyróżnia się dane jakościowe (kategoryczne) oraz dane ilościowe (numeryczne).

Przykładami danych kategorycznych mogą być numery ID, płeć oraz odpowiedzi udzielane w ankietach, takie jak Tak lub Nie.

Przykłady danych ilościowych to waga podana w kilogramach, czas wyrażony w sekundach lub liczba respondentów ankiety.

Dane ilościowe mogą być ciągłe lub dyskretne. Dane dyskretne zawierają skończone wartości, które da się policzyć, takie jak liczba pracowników w oddziale. Dane ciągłe stanowią continuum o nieskończonej liczbie możliwych obserwacji (np. wysokość, waga lub czas).

Nie wszystkie liczby to dane ilościowe. Na przykład numery telefonów, numery ID oraz numery kont to dane numeryczne, ale średnia z numerów telefonów lub mediana z numerów ID nie miałyby sensu.

https://www.ibm.com/support/knowledgecenter/pl/SSEP7J_10.1.1...



Jacek Kloskowski
United States
Local time: 20:51
Native speaker of: Native in PolishPolish, Native in EnglishEnglish
PRO pts in category: 16

Peer comments on this answer (and responses from the answerer)
agree  Frank Szmulowicz, Ph. D.
4 hrs
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