Which of the following is a criterion for a binomial probability experiment?
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 not a requirement of the binomial probability distribution?
A
There is a fixed number of trials.
B
The probability of success is the same for each trial.
C
Each trial has more than possible outcomes.
D
The trials are independent.
Verified step by step guidance1
Step 1: Understand the binomial probability distribution. It models the number of successes in a fixed number of independent trials, where each trial has only two possible outcomes: success or failure.
Step 2: Identify the key requirements of a binomial distribution: (a) There is a fixed number of trials, (b) Each trial is independent, (c) The probability of success is the same for each trial, and (d) Each trial results in exactly two possible outcomes.
Step 3: Analyze the given options to see which one does not fit these requirements. The option 'Each trial has more than two possible outcomes' contradicts the requirement that each trial must have exactly two outcomes.
Step 4: Conclude that the option stating 'Each trial has more than two possible outcomes' is not a requirement of the binomial distribution because it violates the fundamental condition of having only two possible outcomes per trial.
Step 5: Summarize that the binomial distribution requires fixed trials, constant success probability, independence, and exactly two outcomes per trial, so any condition outside these is not a requirement.
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