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Ch. 1 - Introduction to Statistics
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Not the one you use?Change textbook
All textbooksLarson 8th EditionCh. 1 - Introduction to StatisticsProblem 1.1.30
Chapter 1, Problem 1.1.30

Identify the population and the sample. Describe the sample data set.
A survey of 214 of the seniors graduating with a bachelor of science degree from a university found that 15% planned to obtain entry-level jobs in the health field.

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Step 1: Understand the definitions of population and sample. The population refers to the entire group of individuals or items that we are interested in studying, while the sample is a subset of the population that is actually observed or analyzed.
Step 2: Identify the population in the problem. The population here consists of all seniors graduating with a bachelor of science degree from the university.
Step 3: Identify the sample in the problem. The sample is the group of 214 seniors who were surveyed from the population.
Step 4: Describe the sample data set. The sample data set includes the responses of the 214 seniors, specifically the information about whether they plan to obtain entry-level jobs in the health field.
Step 5: Highlight the key statistic from the sample. From the survey, it was found that 15% of the 214 seniors in the sample planned to obtain entry-level jobs in the health field. This percentage is a statistic because it is calculated from the sample data.

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Key Concepts

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

Population

In statistics, the population refers to the entire group of individuals or instances about whom we want to draw conclusions. In this context, the population consists of all seniors graduating with a bachelor of science degree from the university. Understanding the population is crucial for determining the relevance and applicability of the survey results.
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Population Standard Deviation Known

Sample

A sample is a subset of the population selected for analysis, which is used to make inferences about the entire group. In this case, the sample consists of 214 seniors who were surveyed. The sample should ideally represent the population to ensure that the findings can be generalized to all seniors graduating with a bachelor of science degree.
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Sampling Distribution of Sample Proportion

Sample Data Set

The sample data set refers to the specific data collected from the sample, which in this scenario indicates that 15% of the surveyed seniors plan to pursue entry-level jobs in the health field. This data set provides insights into the preferences and plans of the sample group, which can be analyzed to infer trends or behaviors within the larger population.
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Sampling Distribution of Sample Proportion
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