Population and Sample in Statistics
Understand the fundamental concepts of population and sample, and differentiate between parameters and statistics in statistical studies.
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Population and Sample in Statistics
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Read each question carefully and provide your best answer. Some questions may require you to identify populations, samples, parameters, or statistics.
1. A researcher wants to study the average height of all adult males in Canada. Which of the following represents the population for this study?
A group of 1000 adult males selected from Canada.
All adult males living in Canada.
The average height calculated from the 1000 selected males.
The average height of all adult males worldwide.
2. A company wants to determine the satisfaction level of its customers. They randomly select 500 customers and survey them. What is the sample in this study?
All customers of the company.
The 500 randomly selected customers.
The satisfaction level of all customers.
The average satisfaction level of the 500 customers.
1. A parameter is a numerical characteristic of a sample.
True
False
2. A statistic is a numerical characteristic of a population.
True
False
1. A is a subset of a population.
2. The entire group of individuals or objects about which information is desired is called the .
3. A numerical value that describes a characteristic of a population is known as a .
4. A numerical value that describes a characteristic of a sample is known as a .
1. Explain the difference between a population and a sample in your own words.
2. Provide an example of a research question where it would be impractical to study the entire population, and therefore a sample would be necessary.
Match each term with its correct definition.
1. Population
a. A numerical characteristic of a sample
2. Sample
b. The entire group of individuals under study
3. Parameter
c. A subset of the population
4. Statistic
d. A numerical characteristic of a population