b. Would an empirical probability based on 100 games or 1000 games give a better estimate of the probability of winning Solitaire? Why?
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
Problem 6.1.17e
Textbook Question
[NW] [DATA] TelevisionsIn the Sullivan Statistics Survey I, individuals were asked to disclose the number of televisions in their household. In the following probability distribution, the random variable X represents the number of televisions in households.

e. What is the probability that a randomly chosen household has three televisions?
Verified step by step guidance1
Identify the random variable X, which represents the number of televisions in a household.
Locate the value of X for which you want to find the probability, which is 3 televisions in this case.
Look up the corresponding probability P(x) for X = 3 in the given probability distribution table.
The probability that a randomly chosen household has three televisions is the value of P(3) from the table.
Express the probability as P(X = 3) = 0.176, based on the table data.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Probability Distribution
A probability distribution lists all possible values of a random variable along with their associated probabilities. It shows how the total probability of 1 is distributed among different outcomes, helping to understand the likelihood of each event.
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Calculating Probabilities in a Binomial Distribution
Random Variable
A random variable is a numerical outcome of a random phenomenon. In this case, the random variable X represents the number of televisions in a household, and it can take values from 0 to 9, each with a specific probability.
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Interpreting Probability from a Table
To find the probability of a specific event, such as having three televisions, locate the value of the random variable in the table and read its corresponding probability. This direct lookup method simplifies answering probability questions.
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