In the context of the sampling distribution of sample proportion, what does it mean when a part of the population is under-represented in a sample?
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
8. Sampling Distributions & Confidence Intervals: Proportion
Sampling Distribution of Sample Proportion
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following best describes the relationship between a sample and a population in the context of the sampling distribution of the sample proportion?
A
A sample is always larger than the population.
B
A sample and a population are always the same group.
C
A sample includes every member of the population.
D
A sample is a subset of the population used to estimate characteristics of the entire population.
Verified step by step guidance1
Understand the definitions: A population is the entire group of individuals or items that you want to study, while a sample is a smaller group selected from the population.
Recognize that the sample is used to make inferences about the population because it is often impractical or impossible to study the whole population.
Note that the sample must be representative of the population to provide accurate estimates of population parameters.
In the context of the sampling distribution of the sample proportion, the sample proportion is a statistic calculated from the sample that estimates the true population proportion.
Therefore, the relationship is that the sample is a subset of the population used to estimate characteristics (like proportions) of the entire population.
Watch next
Master Using the Normal Distribution to Approximate Binomial Probabilities with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
13
views
Sampling Distribution of Sample Proportion practice set

