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
Discrete Random Variables
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Given the following probability distribution for the discrete random variable : What is the expected value of ?
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Verified step by step guidance1
Identify the values of the discrete random variable \( y \) and their corresponding probabilities from the given distribution. Here, \( y = 1, 2, 3 \) with probabilities \( P(y=1) = 0.2 \), \( P(y=2) = 0.5 \), and \( P(y=3) = 0.3 \).
Recall the formula for the expected value (mean) of a discrete random variable:
\[
E(Y) = \sum_{i} y_i \times P(y_i)
\]
Multiply each value of \( y \) by its corresponding probability:
\[
1 \times 0.2, \quad 2 \times 0.5, \quad 3 \times 0.3
\]
Sum all the products obtained in the previous step to find the expected value:
\[
E(Y) = (1 \times 0.2) + (2 \times 0.5) + (3 \times 0.3)
\]
The result from the summation is the expected value of \( y \). This value represents the long-run average or mean outcome of the random variable \( y \) based on its probability distribution.
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