Suppose a bag contains orange marbles and blue marbles. If you randomly pick one marble from the bag and then flip a fair coin, what is the probability of picking an orange marble and flipping tails?
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 defines a binary variable?
A
A variable that can take any value within a given range
B
A variable that can take only two possible values, such as and
C
A variable that measures the time until an event occurs
D
A variable that represents categories with more than two levels
Verified step by step guidance1
Understand that a binary variable is a type of categorical variable with exactly two possible values or categories.
Recognize that these two values often represent two distinct states, such as 0 and 1, yes and no, or true and false.
Contrast this with other types of variables: continuous variables can take any value within a range, time-to-event variables measure duration until an event, and categorical variables with more than two levels have multiple categories.
Therefore, the defining characteristic of a binary variable is its limitation to only two possible values.
Summarize that the best definition of a binary variable is one that can take only two possible values, such as 0 and 1.
Watch next
Master Introduction to Probability with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
11
views
Basic Concepts of Probability practice set

