Why is a sample used more often than a population?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- Two Variances and F Distribution29m
- Two Variances - Graphing Calculator16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 28m
1. Intro to Stats and Collecting Data
Intro to Stats
Problem 1.1.17
Textbook Question
Determine whether the data set is a population or a sample. Explain your reasoning.
The number of guests in each room of a hotel
Verified step by step guidance1
Understand the definitions: A population includes all members of a defined group, while a sample is a subset of the population selected for analysis.
Identify the context of the problem: The data set provided is 'the number of guests in each room of a hotel.'
Determine whether the data set includes all rooms in the hotel or just a subset. If it includes all rooms, it represents a population. If it includes only a portion of the rooms, it represents a sample.
Explain the reasoning: If the data set includes every room in the hotel, it is a population because it accounts for the entire group being studied. If it includes only some rooms, it is a sample because it represents a smaller group taken from the population.
Conclude based on the information provided: Since the problem does not specify whether all rooms or only some rooms are included, clarify that the classification depends on whether the data set is complete (population) or partial (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 possible observations that could be made. For example, if we consider all the guests in every room of a hotel across all locations, that would represent the population of hotel guests.
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Sample
A sample is a subset of a population, selected to represent the larger group. It is used in statistical analysis to draw conclusions about the population without needing to collect data from every member. For instance, if we only look at the number of guests in a specific hotel or a few selected rooms, we are working with a sample of the overall population of hotel guests.
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Sampling Distribution of Sample Proportion
Data Set Context
Understanding the context of a data set is crucial for determining whether it represents a population or a sample. In this case, the data set consists of the number of guests in each room of a hotel, which implies that it is a complete count of guests in that specific hotel, thus representing a population rather than a sample.
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