Classifying Statistical Data
Gbogbo ọrọ náà
Before you can analyse data, you have to understand what kind of data you have. Is it numbers or categories? Can it take any value, or only whole steps? The answers decide which charts, averages and methods make sense. Classifying data is the quiet first step that keeps every later calculation honest.
In this lesson you will sort data into qualitative and quantitative, and quantitative data into discrete and continuous. You will then organise raw data into tally and frequency tables, and group large data sets into class intervals. These skills turn a messy list of observations into a tidy table ready for analysis.
Ebumnobi
- Classify and tabulate statistical data.
Nkuzi Olu
Gee ntị na nkuzi a na ngwa
Maapụ uche
E seela isiokwu a ka ị hụ otu echiche si ejikọta.
Mepee maapụ uche na ngwa
Kaadị ncheta
Omume ncheta ngwa ngwa n'ihe a na-anwale n'isiokwu a.
Mee omume kaadị ndị a na ngwa
Akwụkwọ Ọmụmụ
Ndetu Nkuzi Zuru Ezu di na Ngwa Green Bridge
Nweta ngwa Green Bridge CBT na ekwenti gi ma o bu kompiuta maka ulo akwukwo IGCSE zuru oke: akwukwo ule ndi gara aga, usoro nyocha, eserese uche, kaadi omumu na nkuzi olu.
Nnyocha Ọmụmụ
Ekele diri gi maka imecha ihe karịrị na Classifying Statistical Data. Ugbu a na ị na-enyochakwa isi echiche na echiche ndị dị mkpa, ọ bụ oge iji nwalee ihe ị ma. Ngwa a na-enye ụdị ajụjụ ọmụmụ dị iche iche emebere iji kwado nghọta gị wee nyere gị aka ịmata otú ị ghọtara ihe ndị a kụziri.
Ị ga-ahụ ngwakọta nke ụdị ajụjụ dị iche iche, gụnyere ajụjụ chọrọ ịhọrọ otu n’ime ọtụtụ azịza, ajụjụ chọrọ mkpirisi azịza, na ajụjụ ede ede. A na-arụpụta ajụjụ ọ bụla nke ọma iji nwalee akụkụ dị iche iche nke ihe ọmụma gị na nkà nke ịtụgharị uche.
Jiri akụkụ a nke nyocha ka ohere iji kụziere ihe ị matara banyere isiokwu ahụ ma chọpụta ebe ọ bụla ị nwere ike ịchọ ọmụmụ ihe ọzọ. Ekwela ka nsogbu ọ bụla ị na-eche ihu mee ka ị daa mba; kama, lee ha anya dị ka ohere maka ịzụlite onwe gị na imeziwanye.
- Which of these is continuous data? A. Number of pets B. Shoe size C. The height of a tree D. Favourite colour Answer: C
- Which of these is qualitative data? A. Mass of a parcel B. Country of birth C. Number of goals D. Time taken Answer: B
- In the frequency table (0 children:3, 1:6, 2:7, 3:3, 4:1), how many families were surveyed? A. 17 B. 18 C. 20 D. 21 Answer: C
- In the same table, how many families had at least 2 children? A. 7 B. 10 C. 11 D. 17 Answer: C
- A student is exactly 160 cm tall. Using classes 150 <= h < 160 and 160 <= h < 170, which class are they in? A. 150 <= h < 160 B. 160 <= h < 170 C. Both D. Neither Answer: B
Rue ajuju ndi a n'ime ngwa ahu
Rue ajuju ndi a n'ime ngwa ahu
Akwụkwọ A Na-atụ Aro
Mụtakwuo ihe site na isi mmalite mepere emepe
-
Akụkụ akwụkwọ
Data, Sampling, and Variation in Data and Sampling
Data may come from a population or from a sample. Lowercase letters like x x or y y generally are used to represent data values. Most data can be put into the following categories: Qualitative data are the result of categorizing or describing attributes of a population. Qualitative data are also oft
"Statistics: Data, Sampling, and Variation in Data and Sampling" by OpenStax, OpenStax, Rice University, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Source: https://openstax.org/books/statistics/pages/1-2-data-sampling-and-variation-in-data-and-sampling. Access for free at https://openstax.org/books/statistics/pages/1-introduction
Ndị otu ndị ọzọ bipụtara ha n'okpuru ikike mepere emepe, anyị na-ekele ha dị ka ha si chọọ. Njikọ na-emepe saịtị ha.
Meecha Ajụjụ Ule Ọmarịcha
Ị chọrọ ime ajụjụ ule ọmarịcha gbasara Classifying Statistical Data? Budata ngwa Green Bridge CBT iji nweta ajụjụ ule ọmarịcha na nyocha zuru ezu gbasara isiokwu a.
Budata Ngwa Ahụ Na Google Playstore
Ihe nile ichoro iji nwee ihe ịga nke ọma na JAMB, WAEC & NECO.
