In a standard deck of playing cards, what is the probability of not drawing a face card (Jack, Queen, or King) in a single random draw?
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 situations cannot be described by a probability distribution?
A
The number of heads obtained when flipping a coin three times
B
The number of cars passing through a toll booth in one hour
C
The number of students present in a classroom on a given day
D
The exact height of a randomly selected adult measured in
Verified step by step guidance1
Understand the definition of a discrete probability distribution: it describes the probabilities of outcomes that are countable, often integers, such as counts of events or objects.
Examine each situation to determine if the possible outcomes are countable (discrete) or continuous (can take any value within a range).
For 'the number of heads obtained when flipping a coin three times,' the outcomes are 0, 1, 2, or 3 heads, which are countable integers, so this is discrete.
For 'the number of cars passing through a toll booth in one hour,' the count of cars is a non-negative integer, so this is also discrete.
For 'the number of students present in a classroom on a given day,' the count is again a non-negative integer, making it discrete. However, 'the exact height of a randomly selected adult measured in centimeters' can take any value within a range and is not countable, so it cannot be described by a discrete probability distribution.
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Basic Concepts of Probability practice set

