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2nd Year Biology Chapter 10 Test2nd Year · Biology · Punjab (PTB)
Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)
What statistical tool breaks data down into specific intervals for a deeper analysis?
Which of the following is considered the simplest form of variability to measure data dispersion?
Pie charts are ideal for visualizing data as:
The factor that the experimenter actively changes or manipulates to observe its effect is the:
Biostatistics is a scientific discipline that applies statistical methods and techniques specifically to:
Which percentile corresponds exactly to the median of a dataset?
The range is calculated as the difference between which two values in a dataset?
Formulating the research question and structuring experiments are done to test a:
What do error bars represents in a chart?
Error bars help visualize how much the individual data points typically deviate from the:
Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)
List the three key characteristics of a bar chart.
What does a legend in a chart present?
How is the median calculated when the number of values in a dataset is even?
Define the x-axis in a graphical data representation.
Why are error bars valuable to researchers analyzing a central tendency like a mean?
How does biostatistics assist policymakers in public health?
Differentiate between a categorical variable and a numerical variable using the insect example.
What are the alternative names for the 25th, 50th, and 75th percentiles?
Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)
Explain the concepts of mean, median, and mode as measures of central tendency. Illustrate with examples when each measure would be most appropriate.
Discuss different types of data presentation tools in biostatistics (bar chart, pie chart and error bars). For each, explain an appropriate biological example where it would be the best choice.
During an epidemic, mortality rate estimates vary depending on whether the mean, median, or percentile is used. Discuss how policymakers might misinterpret such statistics and how biostatistics can prevent this.