A fair six-sided die has one blue face and five non-blue faces. What is the probability that a player will need to toss the die at least times before blue lands faceup for the first time?
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 best illustrates the definition of a probability distribution?
A
A list of all possible outcomes of a random experiment without any probabilities assigned.
B
A table that shows only the most likely outcome of a random experiment.
C
A set of numbers that add up to more than .
D
A table that lists all possible outcomes of a random experiment along with their associated probabilities, where each probability is between and and the sum of all probabilities is .
Verified step by step guidance1
Understand that a probability distribution describes how probabilities are assigned to all possible outcomes of a random experiment.
Recognize that a probability distribution must include every possible outcome, not just some or the most likely ones.
Know that each probability in the distribution must be a number between 0 and 1, inclusive, representing the likelihood of that outcome.
Remember that the sum of all probabilities in the distribution must equal exactly 1, ensuring that one of the possible outcomes will occur.
Therefore, the best illustration of a probability distribution is a table listing all possible outcomes with their associated probabilities, each between 0 and 1, and summing to 1.
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