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We all need some numerical system in order to measure and organize our economic activities or again technical things that have to do our profession. Biostatistics is the application of statistics to a wide range of topics in biology. So, how much do you know about it? Take our quiz and find out now!

• 1.

### What is biometrics?

• A.

It serves to measure data that are digital.

• B.

It's the technical term for body calculation.

• C.

It's the technical term for body measurements and calculation.

• D.

It serves to measure crops over time.

C. It's the technical term for body measurements and calculation.
Explanation
Biometrics refers to the technical term for body measurements and calculation. This term is used to describe the process of measuring and analyzing various physical and behavioral characteristics of an individual, such as fingerprints, facial features, voice patterns, or even typing patterns, to verify their identity. By using biometrics, data can be collected and analyzed to determine unique and distinct characteristics of an individual, which can then be used for identification or authentication purposes.

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• 2.

### What is statistics?

• A.

It's a branch of mathematics dealing with fractions.

• B.

It's a branch of math dealing with percentage.

• C.

It's a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

• D.

It's a branch of mathematics dealing with ratios.

C. It's a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
Explanation
The correct answer is "It's a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data." This answer accurately describes the field of statistics, which involves gathering and analyzing data to make informed decisions or draw conclusions. Statistics involves various methods and techniques for collecting, summarizing, and interpreting data, as well as presenting it in a meaningful way. It is not solely focused on fractions, percentages, or ratios, but rather encompasses a broader range of data-related concepts and practices.

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• 3.

### Who was Gregor Johann Mendel?

• A.

He is a German scientist known as the founder of modern science and genetics.

• B.

He is a French scientist known as the founder of modern science and genetics.

• C.

He is a German writer known as the founder of modern science.

• D.

He is an Austrian scientist known as the founder of genetics.

A. He is a German scientist known as the founder of modern science and genetics.
Explanation
Gregor Johann Mendel was a German scientist known as the founder of modern science and genetics. Mendel conducted extensive experiments with pea plants and established the fundamental principles of inheritance. His work laid the foundation for the field of genetics and helped to establish the laws of heredity. Mendel's discoveries were not widely recognized during his lifetime, but his work was rediscovered and became influential in the early 20th century, revolutionizing the understanding of genetics.

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• 4.

### What are life sciences?

• A.

They comprise the branches of biology that involve the scientific study of plants.

• B.

They comprise the branches of mathematics that involve the scientific study of organisms.

• C.

They comprise the branches of science that involve the scientific study of organisms.

• D.

They comprise the branches of science that involve the study of organisms.

C. They comprise the branches of science that involve the scientific study of organisms.
Explanation
Life sciences refer to the branches of science that involve the scientific study of organisms. This includes various fields such as biology, botany, zoology, ecology, and genetics, among others. Life sciences aim to understand the structure, function, behavior, and interactions of living organisms, as well as their relationships with the environment. By studying organisms at different levels, from molecular and cellular to organismal and ecological, life sciences contribute to our knowledge of life and its processes, and also have practical applications in fields such as medicine, agriculture, and conservation.

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• 5.

### What's the design of experiments?

• A.

It's the design of any task that aims at describing the variation of information under conditions that are verifiable.

• B.

It's the design of any task that aims at describing /explaining the variation of information under conditions that are hypothesized but don't necessarily reflect the variation.

• C.

It's the design of a unique task that aims at explaining the variation of information under conditions that are hypothesized to reflect the variation.

• D.

It's the design of any task that aims at describing /explaining the variation of information under conditions that are hypothesized to reflect the variation.

D. It's the design of any task that aims at describing /explaining the variation of information under conditions that are hypothesized to reflect the variation.
Explanation
The design of experiments refers to the process of planning and conducting tasks that aim to describe or explain the variation of information. These tasks are designed under conditions that are hypothesized to reflect the variation being studied. The goal is to carefully control and manipulate the variables in order to gather reliable and valid data that can be used to draw conclusions and make inferences about the phenomenon being investigated.

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• 6.

### What's a population in sampling?

• A.

It's a group with homogeneous characteristics.

• B.

It's all the organisms of the same group/species, which live in a particular geographic area.

• C.

It's all the organisms of the same group/species, which live in a particular geographic area.

• D.

It's a group with heterogeneous characteristics.

C. It's all the organisms of the same group/species, which live in a particular geograpHic area.
Explanation
The correct answer is "It's all the organisms of the same group/species, which live in a particular geographic area." This explanation accurately defines a population in sampling as a group of organisms belonging to the same species or group, living in a specific geographic area. This definition aligns with the concept of population in the context of sampling and provides a clear understanding of what it represents.

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• 7.

### What is sampling?

• A.

It's the selection of 2 individuals from within a statistical population to estimate characteristics of the whole population.

• B.

It's the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population.

• C.

It's the selection of a subset of 1 individual from within a statistical population to estimate characteristics of the whole population.

• D.

It's the selection of of 10 individuals from within a statistical population to estimate characteristics of the whole population.

B. It's the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population.
Explanation
Sampling is the process of selecting a subset of individuals from a larger statistical population in order to estimate characteristics of the entire population. This allows researchers to gather data and make inferences about the population as a whole based on the characteristics observed within the sample. By selecting a representative sample, researchers can minimize bias and increase the accuracy of their estimates.

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• 8.

### What's a case-control study?

• A.

It's a type of observational study in which 2 existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute.

• B.

It's a type of observational study in which 5 existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute.

• C.

It's a type of observational study in which 10 existing groups with the same outcomes are identified.

• D.

It's a type of observational study in which 10 existing groups differing in outcome are identified.

A. It's a type of observational study in which 2 existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute.
Explanation
A case-control study is a type of observational study where two existing groups that differ in outcome are identified and compared based on a supposed causal attribute. This study design is used to investigate the association between an exposure and an outcome, by comparing individuals with the outcome (cases) to individuals without the outcome (controls). By comparing the two groups, researchers can determine if the exposure is associated with the outcome. The answer choice accurately describes the key characteristics of a case-control study.

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• 9.

### What's a central tendency?

• A.

It's a central/typical value for a probability distribution.

• B.

It's a central/typical value for a statistical distribution.

• C.

It's a central value for a sampling distribution.

• D.

It's a typical value for a research distribution.

A. It's a central/typical value for a probability distribution.
Explanation
A central tendency refers to a central or typical value that represents the distribution of probabilities in a probability distribution. It helps to summarize and understand the overall pattern or behavior of the data. This value is often used to make predictions or draw conclusions about the data set.

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• 10.

### What's a dispersion?

• A.

It's the extent to which a population is squeezed.

• B.

It's the extent to which a sample is stretched.

• C.

It's the extent to which a distribution is stretched/ squeezed.

• D.

It's the extent to which a data is stretched/ squeezed.

C. It's the extent to which a distribution is stretched/ squeezed.
Explanation
The correct answer is "It's the extent to which a distribution is stretched/ squeezed." This answer accurately describes dispersion as a measure of how spread out or concentrated the data points are in a distribution. It encompasses both stretching and squeezing, indicating the variability or spread of the data.

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• Current Version
• Mar 22, 2023
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• Jun 17, 2018
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