In a binomial experiment, how many possible outcomes are there for a single trial?
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
5. Binomial Distribution & Discrete Random Variables
Binomial Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is a property of binomial distributions?
A
The outcomes of different trials are always dependent.
B
The number of trials can be .
C
Each trial has only possible outcomes, often called success and failure.
D
The probability of success changes from trial to trial.
Verified step by step guidance1
Understand that a binomial distribution models the number of successes in a fixed number of independent trials.
Recall the key properties of a binomial distribution: each trial is independent, there are a fixed number of trials, each trial has only two possible outcomes (success or failure), and the probability of success remains constant across trials.
Evaluate each given statement against these properties: outcomes being dependent contradicts independence; infinite trials contradicts the fixed number of trials; probability changing contradicts the constant probability assumption.
Identify that the correct property is that each trial has only two possible outcomes, often called success and failure, which aligns with the definition of a binomial distribution.
Summarize that the binomial distribution requires independent trials, fixed number of trials, two possible outcomes per trial, and constant probability of success.
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