Statistical Representation And Measures
Muhtasari
A spreadsheet of 500 numbers tells you nothing at a glance. Turn those same numbers into a chart, or boil them down to a single representative value, and a pattern that was invisible in the raw data suddenly becomes obvious. Choosing the right chart and the right average is what separates a clear report from a confusing one.
This topic covers bar charts, pie charts and histograms with frequency density, then moves to numerical summaries: the mean, median and mode of a discrete data set, an estimate of the mean for grouped frequency data, and how to identify the modal class and the class containing the median when individual values are hidden inside groups.
Malengo
- Use graphical representation of numerical data including bar charts, pie charts and histograms
- Determine the mean, median and mode for a discrete data set
- Calculate an estimate of the mean for grouped frequency data
- Determine a modal class and the class containing the median for grouped data
Ramani ya mawazo
Mada hii imechorwa ili uone jinsi mawazo yanavyounganika.
Fungua ramani ya mawazo kwenye programu
Kadi za kumbukumbu
Mazoezi ya haraka ya kumbukumbu kuhusu kinachopimwa katika mada hii.
Fanya mazoezi ya kadi hizi kwenye programu
Maelezo ya Somo
Dokezo Kamili la Somo Linapatikana kwenye Programu ya Green Bridge
Pata programu ya Green Bridge CBT kwenye simu au kompyuta yako kwa maktaba kamili ya IGCSE: mitihani ya miaka iliyopita, miongozo ya usahihishaji, ramani za mawazo, kadi za marudio na masomo ya sauti.
Tathmini ya Somo
Hongera kwa kukamilisha somo la Statistical Representation And Measures. Sasa kwa kuwa umechunguza dhana na mawazo muhimu, ni wakati wa kuweka ujuzi wako kwa mtihani. Sehemu hii inatoa mazoezi mbalimbali maswali yaliyoundwa ili kuimarisha uelewaji wako na kukusaidia kupima ufahamu wako wa nyenzo.
Utakutana na mchanganyiko wa aina mbalimbali za maswali, ikiwemo maswali ya kuchagua jibu sahihi, maswali ya majibu mafupi, na maswali ya insha. Kila swali limebuniwa kwa umakini ili kupima vipengele tofauti vya maarifa yako na ujuzi wa kufikiri kwa makini.
Tumia sehemu hii ya tathmini kama fursa ya kuimarisha uelewa wako wa mada na kubaini maeneo yoyote ambapo unaweza kuhitaji kusoma zaidi. Usikatishwe tamaa na changamoto zozote utakazokutana nazo; badala yake, zitazame kama fursa za kukua na kuboresha.
- A survey of 40 people found 10 prefer tea. What angle represents 'tea' on a pie chart? A) 45 degrees B) 90 degrees C) 10 degrees D) 250 degrees Answer: B
- A histogram is needed instead of a bar chart when: A) the data is categorical B) the class widths are unequal C) there are more than 5 classes D) the frequencies are all equal Answer: B
- What is the median of: 3, 9, 4, 9, 6, 2? A) 4 B) 5 C) 6 D) 9 Answer: B
- A class 30 <= x < 50 has frequency 40. What is its frequency density? A) 0.5 B) 2 C) 20 D) 1200 Answer: B
- Which statement about the estimated mean of grouped data is correct? A) It is always exactly equal to the true mean B) It uses the class midpoints in place of the real values C) It uses the class upper boundaries in place of the real values D) It cannot be calculated without the raw data Answer: B
Fanyia kazi maswali haya kwenye programu
Fanyia kazi maswali haya kwenye programu
Vitabu Vinavyopendekezwa
Jifunze zaidi kutoka vyanzo huria
-
Sehemu ya kitabu
Measures of the Center of the Data
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median . To calculate the mean weight of 50 people, add the 50 weights together and divide by 50. To find the median weight of the 50 people,
"Introductory Statistics: Measures of the Center of the Data" by OpenStax, OpenStax, Rice University, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Source: https://openstax.org/books/introductory-statistics/pages/2-5-measures-of-the-center-of-the-data. Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction
-
Sehemu ya kitabu
Histograms, Frequency Polygons, and Time Series Graphs
For most of the work you do in this book, you will use a histogram to display the data. One advantage of a histogram is that it can readily display large data sets. A rule of thumb is to use a histogram when the data set consists of 100 values or more. A histogram consists of contiguous (adjoining)
"Introductory Statistics: Histograms, Frequency Polygons, and Time Series Graphs" by OpenStax, OpenStax, Rice University, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Source: https://openstax.org/books/introductory-statistics/pages/2-2-histograms-frequency-polygons-and-time-series-graphs. Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction
Vimechapishwa na mashirika mengine chini ya leseni huria na vinatajwa kama wanavyoomba. Viungo hufungua tovuti zao.
Fanya Mazoezi ya Maswali ya Majaribio
Ungependa kufanya mazoezi ya maswali ya majaribio kuhusu Statistical Representation And Measures? Pakua programu ya Green Bridge CBT ili kupata maswali ya majaribio na tathmini kamili za mazoezi kuhusu mada hii.
Pakua Programu Kwenye Google Playstore
Kila kitu unachohitaji ili kufaulu katika JAMB, WAEC & NECO.
