In the context of probability experiments, which of the following best describes an variable?
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
Which of the following is a valid probability distribution?
A
, ,
B
, ,
C
, ,
D
, ,
Verified step by step guidance1
Recall the two main conditions for a valid probability distribution: (1) Each probability must be between 0 and 1 inclusive, i.e., \$0 \leq P(x) \leq 1\( for all \)x\(, and (2) the sum of all probabilities must equal 1, i.e., \)\sum P(x) = 1$.
Check the first distribution: \(P(1) = 0.4\), \(P(2) = 0.4\), \(P(3) = 0.4\). Verify if each probability is between 0 and 1, then sum them up to see if they equal 1.
Check the second distribution: \(P(1) = 0.3\), \(P(2) = 0.3\), \(P(3) = 0.1\). Confirm each probability is valid and sum them to check if the total is 1.
Check the third distribution: \(P(1) = 0.2\), \(P(2) = 0.5\), \(P(3) = 0.3\). Again, verify the range of each probability and sum them to confirm if they add up to 1.
Check the fourth distribution: \(P(1) = -0.1\), \(P(2) = 0.6\), \(P(3) = 0.5\). Notice that probabilities cannot be negative, so this distribution violates the first condition and is invalid.
Watch next
Master Introduction to Probability with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
12
views
Basic Concepts of Probability practice set

