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Ch. 1 - Introduction to Statistics
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Not the one you use?Change textbook
All textbooksTriola 14th EditionCh. 1 - Introduction to StatisticsProblem 1.RE.5d
Chapter 1, Problem 1.RE.5d

Sampling For each of the following, identify the term that best describes the type of sample: systematic, convenience, stratified, cluster, or simple random sample.


d. A statistics student creates a survey and presents it to fellow statistics students.

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1
Understand the different types of sampling methods: systematic, convenience, stratified, cluster, and simple random sampling.
Systematic sampling involves selecting every nth individual from a list or sequence. Convenience sampling involves selecting individuals who are easiest to reach. Stratified sampling involves dividing the population into subgroups and sampling from each subgroup. Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters. Simple random sampling involves selecting individuals randomly from the entire population.
Analyze the scenario: A statistics student creates a survey and presents it to fellow statistics students.
Consider the characteristics of the sample: The sample consists of fellow statistics students who are easily accessible to the student conducting the survey.
Determine the type of sampling method used: Since the sample is based on ease of access and not on a random or structured method, this is an example of convenience sampling.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Convenience Sampling

Convenience sampling is a non-probability sampling technique where samples are selected based on their easy availability and proximity to the researcher. This method is often used when quick and inexpensive data collection is needed, but it may not represent the entire population accurately, leading to potential biases.
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Sampling Distribution of Sample Proportion

Sampling Bias

Sampling bias occurs when certain members of a population are more likely to be included in a sample than others, leading to a sample that is not representative of the population. In convenience sampling, the ease of access to certain groups can result in sampling bias, affecting the validity and generalizability of the survey results.
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Population and Sample

In statistics, the population refers to the entire group of individuals or instances about whom we seek to draw conclusions, while a sample is a subset of the population selected for analysis. Understanding the relationship between a sample and its population is crucial for making inferences and ensuring that the sample accurately reflects the population's characteristics.
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Related Practice
Textbook Question

State Populations Currently, California has the largest population with 39,776,830 residents, and Wyoming has the smallest population with 573,520 residents.


a. Are the population sizes of the different states discrete or continuous?

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Textbook Question

Paying for First Dates USA Today posted this question on the electronic version of its newspaper: “Should guys pay for the first date?” Of the 1148 subjects who decided to respond, 85% of them said “yes.”


c. Does the survey constitute an experiment or an observational study?

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Textbook Question

Percentages

c. In a Pew Research Center poll on driving, 331 of the 1182 respondents said that driving is a chore. What percentage of respondents said that driving is a chore?

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Textbook Question

Percentages

b. In a Pew Research Center poll on driving, 58% of the 1182 respondents said that they like to drive. What is the actual number of respondents who said that they like to drive?

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Textbook Question

Percentages

a. The labels on U-Turn protein energy bars include the statement that these bars contain “125% less fat than the leading chocolate candy brands” (based on data from Consumer Reports magazine). What is wrong with that claim?

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Textbook Question

State Populations Currently, California has the largest population with 39,776,830 residents, and Wyoming has the smallest population with 573,520 residents.


b. What is the level of measurement for the numbers of residents in the different states? (nominal, ordinal, interval, ratio)

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