Mathematics - 0580 CIE

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

  1. Classify and tabulate statistical data.

Akọmọ Ojú-ẹkọ

Every statistical study, from a school survey to a national census, starts by collecting and organising data. Choosing the wrong chart for the type of data, or grouping it badly, leads to conclusions that look convincing but are simply wrong. Knowing how to classify and tabulate data correctly is the foundation on which all trustworthy statistics is built.

Ọ dị na ngwa Green Bridge

Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.

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Ayẹwo Ẹkọ

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.

  1. Which of these is continuous data? A. Number of pets B. Shoe size C. The height of a tree D. Favourite colour Answer: C
  2. Which of these is qualitative data? A. Mass of a parcel B. Country of birth C. Number of goals D. Time taken Answer: B
  3. 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
  4. In the same table, how many families had at least 2 children? A. 7 B. 10 C. 11 D. 17 Answer: C
  5. 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

Ọ dị na ngwa Green Bridge

Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.

Akwụkwọ ndụmọdụ zuru oke nwere eserese
Onye inyeaka mmụta AI
Mụọ n'ụzọ na-enweghị ịntaneti, oge ọbụla, ebe ọbụla
Ọ dị na Android, Windows, macOS, na Linux

Ọ dị na ngwa Green Bridge

Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.

Akwụkwọ ndụmọdụ zuru oke nwere eserese
Onye inyeaka mmụta AI
Mụọ n'ụzọ na-enweghị ịntaneti, oge ọbụla, ebe ọbụla
Ọ dị na Android, Windows, macOS, na Linux

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.

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