In the context of probability and data distributions, which type of distribution is most likely to have a and that are not close in value?
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
4. Probability
Basic Concepts of Probability
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Why do pollsters most often rely on random sampling when conducting surveys?
A
Because random sampling eliminates all sources of error in survey results.
B
Because random sampling helps ensure that every member of the population has an equal chance of being selected, reducing selection bias.
C
Because random sampling is always less expensive than other sampling methods.
D
Because random sampling guarantees that the sample will perfectly match the population in all characteristics.
Verified step by step guidance1
Understand that the goal of sampling in surveys is to obtain a representative subset of the population to make valid inferences about the whole population.
Recognize that random sampling means every member of the population has an equal chance of being selected, which helps avoid systematic biases in the selection process.
Know that random sampling reduces selection bias, which occurs when some members of the population are more likely to be chosen than others, potentially skewing results.
Be aware that while random sampling helps improve the representativeness of the sample, it does not eliminate all sources of error, such as measurement error or nonresponse error.
Conclude that pollsters rely on random sampling primarily because it promotes fairness in selection and helps ensure the sample is more likely to reflect the diversity of the population.
Watch next
Master Introduction to Probability with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
13
views
Basic Concepts of Probability practice set

