In the context of probability, which type of probability assessment is based on repeatable, measurable data from experiments or observations?
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
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Suppose a researcher wants to determine the average height of all students currently enrolled at a large university. Should the researcher collect data from a sample or from the entire population?
A
Sample
B
Population
Verified step by step guidance1
Understand the difference between a population and a sample: The population includes all individuals of interest (in this case, all students currently enrolled at the university), while a sample is a subset of that population.
Consider the feasibility of data collection: Collecting data from the entire population (all students) can be very time-consuming, costly, and sometimes impractical, especially if the population is large.
Recognize the purpose of sampling: By selecting a representative sample, the researcher can estimate the average height of the entire population without measuring every individual.
Ensure the sample is representative: The sample should be randomly selected to avoid bias and to make valid inferences about the population.
Conclude that collecting data from a sample is the appropriate approach here, as it balances accuracy and practicality when estimating the average height of all students.
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