MCQ on Applications of Statistics in Research

Statistics play a vital role in biological research, helping scientists make sense of data, draw meaningful conclusions, and make informed decisions. Whether studying genetics, ecology, physiology, or other biological disciplines, statistical methods are essential for understanding complex biological processes and patterns. With this MCQ on Applications of Statistics in Research, you can understand the power of statistical tools in biological research

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In biological research, statistics are commonly used to:

Which statistical test is appropriate for comparing the mean weight of two groups of mice, one treated with a drug and the other untreated?

A biologist collects data on the number of plant species in different habitats. Which type of graph is suitable for visualizing this categorical data?

What is the primary purpose of conducting a power analysis in biological research?

In genetics research, statistics are used to study:

A biologist is studying the relationship between temperature and the growth rate of a bacterium. Which statistical method can help analyze this relationship?

Which statistical test is used to determine whether there is a significant association between two categorical variables, such as the presence of a disease and a genetic marker?

In ecology research, statistics can be used to:

When conducting a field study to estimate the population size of a bird species, which sampling method is commonly used?

A biologist is conducting an experiment to test the effect of a new fertilizer on plant growth. Which statistical analysis would be appropriate to compare multiple groups, such as control, low dose, and high dose treatments?

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