Graphical Representation Of Data
Muhtasari
Data on its own is just a list of numbers. The real power comes when you present it visually so that patterns, trends and comparisons leap off the page. This topic covers every standard chart type you will meet at IGCSE, from simple bar charts and pictograms to scatter diagrams and stem-and-leaf plots.
You will learn how to choose the right diagram for a data set, construct each one accurately with correct labels and scales, and interpret what the diagram reveals. At Higher tier, histograms with unequal class widths and cumulative frequency curves extend your toolkit for analysing continuous data in more depth.
Malengo
- Use different methods of presenting data
- Use appropriate methods of tabulation to enable the construction of statistical diagrams
- Interpret statistical diagrams
- [Higher] Construct and interpret histograms for continuous variables with unequal class intervals
- [Higher] Construct cumulative frequency diagrams from tabulated data
- [Higher] Use cumulative frequency diagrams
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- In a bar chart, what do the heights of the bars represent? A) The class width B) The frequency of each category C) The percentage of the total D) The cumulative frequency Answer: B
- The angles in a pie chart must add up to which total? A) 100 degrees B) 180 degrees C) 360 degrees D) It depends on the data Answer: C
- On a scatter diagram, points that slope downward from left to right indicate which type of correlation? A) Positive correlation B) Negative correlation C) No correlation D) Perfect correlation Answer: B
- In a histogram with unequal class widths, what is plotted on the vertical axis? A) Frequency B) Cumulative frequency C) Frequency density D) Class width Answer: C
- When drawing a cumulative frequency diagram, points should be plotted at which position on the horizontal axis? A) The midpoint of each class B) The lower class boundary C) The upper class boundary D) Any point within the class Answer: C
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Vitabu Vinavyopendekezwa
Jifunze zaidi kutoka vyanzo huria
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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
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Sehemu ya kitabu
Frequency, Frequency Tables, and Levels of Measurement
Once you have a set of data, you will need to organize it so that you can analyze how frequently each datum occurs in the set. However, when calculating the frequency, you may need to round your answers so that they are as precise as possible. A simple way to round off answers is to carry your final
"Introductory Statistics: Frequency, Frequency Tables, and Levels of Measurement" 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/1-3-frequency-frequency-tables-and-levels-of-measurement. Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction
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