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What are the steps to collect and analyze thumbprint and height data from a class?
ScanSolve AI Answer
The image contains two study questions that require practical data collection from a class. As an AI, I cannot perform these physical activities or collect real-world data. Therefore, I cannot provide specific numerical answers for these questions.
Here's how you would approach them:
Study Question 1: What percentage of each type of thumbprint is found amongst the members of your class?
To answer this, you would need to:
- Identify the different types of thumbprints (e.g., arch, loop, whorl).
- Collect thumbprints from each member of your class.
- Classify each thumbprint into its respective type.
- Count the number of students for each thumbprint type.
- Calculate the percentage for each type using the formula:
Without this data, a specific percentage cannot be provided.
Study Question 2: Height
This question outlines a procedure to collect and analyze height data from your class. As an AI, I cannot perform the steps of marking a scale, measuring heights, or collecting data from your classmates.
However, I can describe the process you would follow:
- Mark a scale: Draw a vertical scale on a wall from 120 cm to 200 cm.
- Measure heights: Each student measures their height to the nearest centimeter.
- Collect data: Record the heights of all class members.
- Group the data: Create class intervals of 4 cm. For example:
- 120 cm - 123 cm
- 124 cm - 127 cm
- 128 cm - 131 cm
- ...and so on, up to 196 cm - 199 cm.
- Prepare a frequency table: Count how many students fall into each height interval. The table would look like this:
Height Interval (cm) Tally Frequency 120 - 123 124 - 127 ... 196 - 199 - Plot a graph: Create a histogram where the x-axis represents the height intervals (classes) and the y-axis represents the frequency (number of students).
Since I don't have the class data, I cannot complete the frequency table or plot the graph.
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