Which of the following best describes a confounding variable in the context of probability and statistics?
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 57m
- 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
Which of the following best describes the probability of an event A , denoted as ?
A
It is the ratio of the number of possible outcomes to the number of favorable outcomes.
B
It is the number of times event A has occurred in the past.
C
It is a measure between and that quantifies the likelihood that event A will occur.
D
It is always equal to for any event A .
Verified step by step guidance1
Understand that the probability of an event A, denoted as \(P(A)\), is a measure that quantifies how likely it is for event A to occur.
Recall the fundamental properties of probability: it must be a number between 0 and 1 inclusive, where 0 means the event cannot occur and 1 means the event is certain to occur.
Recognize that probability is not simply the ratio of possible outcomes to favorable outcomes; rather, it is the ratio of favorable outcomes to total possible outcomes when outcomes are equally likely.
Note that probability is not based on how many times the event has occurred in the past; it is a theoretical measure of likelihood, not a frequency count.
Conclude that the best description of \(P(A)\) is that it is a measure between 0 and 1 that quantifies the likelihood that event A will occur.
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