A store surveys its target demographic and learns that 86% of people would purchase the product they’ve been heavily advertising. Is this an experiment or an observational study? Can they conclude their current advertising strategy caused the high percentage of interest?
Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Collecting Data
Problem 1.1.11
Textbook Question
"Determine whether the data set is a population or a sample. Explain your reasoning.
The salary of each employee of an advertising firm"

1
Step 1: Understand the definitions of 'population' and 'sample'. A population refers to the entire group of individuals or items that you are studying, while a sample is a subset of the population selected for analysis.
Step 2: Analyze the context of the problem. The data set provided includes the salary of each employee of an advertising firm. This implies that the data set includes information about all employees in the firm.
Step 3: Determine whether the data set represents the entire group or a subset. Since the problem states 'each employee,' it suggests that the data set includes all employees in the firm, not just a subset.
Step 4: Conclude that the data set is a population because it includes all members of the group being studied (all employees of the advertising firm).
Step 5: Explain the reasoning clearly: The data set is a population because it encompasses the entire group of interest (all employees of the firm), rather than a smaller subset or sample.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Population
A population refers to the entire group of individuals or items that share a common characteristic. In statistics, it encompasses all members from which data can be collected. For example, if we consider the salaries of all employees in a company, that entire group constitutes the population.
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Sample
A sample is a subset of a population selected for analysis. It is used to make inferences about the population without needing to collect data from every member. For instance, if only a few employees' salaries are surveyed instead of all, that group would be considered a sample.
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Data Collection Context
Understanding the context of data collection is crucial in determining whether a data set is a population or a sample. In this case, since the question specifies 'the salary of each employee of an advertising firm,' it indicates that all employees are included, thus defining the data set as a population.
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