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
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Given a table that lists the possible values of a random variable along with their corresponding probabilities, is the random variable discrete or continuous?
A
Discrete, because the random variable can take on only a countable number of distinct values.
B
Continuous, because the probabilities are assigned to intervals rather than individual values.
C
Discrete, because the random variable can take on any value within a range.
D
Continuous, because the random variable can take on any value within an interval.
Verified step by step guidance1
Step 1: Understand the definitions of discrete and continuous random variables. A discrete random variable takes on countable, distinct values, often integers or specific points, while a continuous random variable can take on any value within an interval or range, including infinitely many possible values.
Step 2: Examine the given table that lists possible values of the random variable along with their corresponding probabilities. If the probabilities are assigned to specific individual values, this suggests the variable is discrete.
Step 3: Recognize that for continuous random variables, probabilities are not assigned to individual points but rather to intervals, because the probability of any single exact value is zero in a continuous distribution.
Step 4: Based on the information that the table lists specific values and their probabilities, conclude that the random variable is discrete, as it takes on countable distinct values with assigned probabilities.
Step 5: Summarize that the correct reasoning is: the random variable is discrete because it can take on only a countable number of distinct values, each with an associated probability.
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