A(n) _______ sample is obtained by dividing the population into groups and selecting all individuals from within a random sample of the groups.
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: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- 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
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
1. Intro to Stats and Collecting Data
Sampling Methods
Problem 1.4.10
Textbook Question
True or False: When obtaining a stratified sample, the number of individuals included within each stratum must be equal.
Verified step by step guidance1
Understand the definition of a stratified sample: it involves dividing the population into distinct subgroups called strata, which are internally homogeneous but differ from each other.
Recognize that the purpose of stratified sampling is to ensure representation from each subgroup, which can improve the precision of estimates compared to simple random sampling.
Note that the number of individuals selected from each stratum can be proportional to the size of that stratum in the population (proportional allocation) or can be chosen to be equal across strata (equal allocation), depending on the study design and goals.
Therefore, it is not a requirement that the number of individuals in each stratum be equal; the sample sizes per stratum depend on the sampling strategy used.
Conclude that the statement 'the number of individuals included within each stratum must be equal' is false because stratified sampling allows for flexibility in how many individuals are selected from each stratum.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Stratified Sampling
Stratified sampling is a method of sampling that divides the population into distinct subgroups, or strata, based on shared characteristics. Samples are then drawn from each stratum to ensure representation across key segments of the population.
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Proportional vs. Equal Allocation
In stratified sampling, the number of individuals selected from each stratum can be proportional to the stratum's size in the population or equal across strata. Proportional allocation reflects the population structure, while equal allocation selects the same number from each stratum regardless of size.
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Purpose of Stratification
The main goal of stratification is to increase the precision of estimates by reducing variability within strata. Ensuring representation from all subgroups helps produce more accurate and generalizable results, but equal sample sizes per stratum are not always necessary or required.
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